Papers
Mon 29 Sep 2025
692 papers
- Advancing mathematics research with generative AILLM reasoning → Mathematical reasoning
- Hound: Relation-First Knowledge Graphs for Complex-System Reasoning in Security AuditsLLM reasoning → Reasoning for agents, planning and code
- From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts RoutingMixture-of-experts → Efficient MoE training and inference systems
- Why mask diffusion does not workDiffusion models → Discrete and text diffusion
- A-MemGuard: A Proactive Defense Framework for LLM-Based Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
- AutoContext: Instance-Level Context Learning for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Think Twice, Generate Once: Safeguarding by Progressive Self-ReflectionLLM reasoning → Test-time compute and efficient thinking +1
- Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR GuidanceDeep reinforcement learning methods → Safe and constrained RL
- Unlocking Zero-Shot Geospatial Reasoning via Indirect RewardsLLM reasoning → Spatial and embodied reasoning +1
- ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language ModelsLLM reasoning → Test-time compute and efficient thinking
- OIG-Bench: A Multi-Agent Annotated Benchmark for Multimodal One-Image Guides UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in AstronomyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Less is More: Lean yet Powerful Vision-Language Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free GuidanceLLM reasoning → Diffusion reasoning and test-time scaling +1
- MoReFlow: Motion Retargeting Learning through Unsupervised Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic TasksLLM agents and tool use → Reinforcement learning for LLM agents +1
- Binary Sparse Coding for InterpretabilityMechanistic interpretability → Sparse autoencoder training and evaluation
- K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation ModelMixture-of-experts → Medical and biomedical MoE
- Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM AgentLLM agents and tool use → Medical and scientific domain agents
- Machine Learning Algorithms for Improving Black Box Optimization SolversDeep reinforcement learning methods → RL for games and combinatorial optimization
- ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Safe In-Context Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Probing the Limits of Stylistic Alignment in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- FishNet++: Analyzing the capabilities of Multimodal Large Language Models in marine biologyMultimodal LLMs / vision-language models → Agricultural vision-language models
- IRIS: Intrinsic Reward Image SynthesisLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- Radiology's Last Exam (RadLE): Benchmarking Frontier Multimodal AI Against Human Experts and a Taxonomy of Visual Reasoning Errors in RadiologyLLM reasoning → Clinical and biomedical applications +1
- Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed ApproachesLLM safety and security → Federated unlearning and poisoning
- Aligning Multilingual Reasoning with Verifiable Semantics from a High-Resource Expert ModelLLM reasoning → Reasoning benchmarks and evaluation
- Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-PlayMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- VISOR++: Universal Visual Inputs based Steering for Large Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Calibrating Verbalized Confidence with Self-Generated DistractorsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text SourcesLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Defeating Cerberus: Concept-Guided Privacy-Leakage Mitigation in Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Flow Matching with Semidiscrete CouplingsDiffusion models → Flow matching, time series and science
- World Model for AI Autonomous Navigation in Mechanical ThrombectomyWorld models → Medical and surgical world models +1
- EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal CircuitLLM agents and tool use → Software engineering coding agents
- Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference OptimizationLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image DetectionLLM reasoning → Multimodal reasoning +1
- Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based ProvocationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- TDHook: A Lightweight Framework for InterpretabilityDeep reinforcement learning methods → Interpretable and logic-guided RL
- SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QARetrieval-augmented generation → RAG robustness and adaptive retrieval
- PIPer: On-Device Environment Setup via Online Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree SearchLLM reasoning → Reinforcement learning for reasoning
- Fingerprinting LLMs via Prompt InjectionLLM safety and security → Watermarking generated content and models
- CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance ModulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress MonitoringDeep reinforcement learning methods → Deep RL algorithms and representations
- RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMsLLM reasoning → Test-time compute and efficient thinking
- Polychromic Objectives for Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase SearchLLM reasoning → Test-time compute and efficient thinking +1
- Emotion-Aligned Generation in Diffusion Text to Speech Models via Preference-Guided OptimizationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAsLLM reasoning → Test-time compute and efficient thinking
- DepthLM: Metric Depth From Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Boolean Satisfiability via Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- From Faithfulness to Correctness: Generative Reward Models that Think CriticallyLLM reasoning → Reinforcement learning for reasoning +1
- Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning ModelsDeep reinforcement learning methods → RL theory and sample complexity
- FlashOmni: A Unified Sparse Attention Engine for Diffusion TransformersDiffusion models → Video generation
- SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMsLLM reasoning → Spatial and embodied reasoning +1
- Let Physics Guide Your Protein Flows: Topology-aware Unfolding and GenerationDiffusion models → Flow matching, time series and science
- From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Where LLM Agents Fail and How They can Learn From FailuresLLM agents and tool use → Software engineering coding agents
- Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation PredictionLLM reasoning → Clinical and biomedical applications
- LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion ModelDiffusion models → Video generation
- Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel ExecutionLLM agents and tool use → Web, search, and research agents
- Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- ID-RAG: Identity Retrieval-Augmented Generation for Long-Horizon Persona Coherence in Generative AgentsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven DevelopmentLLM agents and tool use → Software engineering coding agents
- A Measurement Study of Model Context Protocol EcosystemLLM agents and tool use → Agent threats, guardrails and governance
- Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Toward Causal-Visual Programming: Enhancing Agentic Reasoning in Low-Code EnvironmentsLLM reasoning → Causal reasoning in LLMs +1
- MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time SeriesMixture-of-experts → MoE for time series and graphs
- Visual Jigsaw Post-Training Improves MLLMsLLM reasoning → Multimodal reasoning +1
- InfoAgent: Advancing Autonomous Information-Seeking AgentsLLM agents and tool use → Web, search, and research agents
- Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel DecodingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured ImagesLLM reasoning → Multimodal reasoning +2
- DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent SpaceDiffusion models → Diffusion foundations and sampling
- GHOST: Hallucination-Inducing Image Generation for Multimodal LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mitigating Hallucination in Multimodal LLMs with Layer Contrastive DecodingLLM reasoning → Hallucination detection and mitigation +1
- SIRI: Scaling Iterative Reinforcement Learning with Interleaved CompressionLLM reasoning → Test-time compute and efficient thinking +1
- XQC: Well-conditioned Optimization Accelerates Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion ModelsDiffusion models → Flow matching, time series and science
- AlignTok: Aligning Visual Foundation Encoders to Tokenizers for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Rolling Forcing: Autoregressive Long Video Diffusion in Real TimeWorld models → Video-generation world models and simulators +1
- GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual ContextsLLM reasoning → Multimodal reasoning +1
- Chance-constrained Flow Matching for High-Fidelity Constraint-aware GenerationDiffusion models → Flow matching, time series and science
- VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text GenerationKnowledge distillation → Knowledge distillation for LLMs
- TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Visual serial processing deficits explain divergences in human and VLM reasoningLLM reasoning → Multimodal reasoning +1
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning MemoryLLM reasoning → Reasoning for agents, planning and code +2
- Rethinking Entropy Regularization in Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Score Distillation of Flow Matching ModelsDiffusion models → Diffusion foundations and sampling
- Towards Personalized Deep Research: Benchmarks and EvaluationsLLM agents and tool use → Web, search, and research agents
- ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM DistillationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Curriculum Imitation Learning of Distributed Multi-Robot PoliciesOffline RL and imitation learning from data → Imitation learning methods
All 692
- Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMsKnowledge distillation → Knowledge distillation for LLMs
- Scaling Generalist Data-Analytic AgentsLLM agents and tool use → Web, search, and research agents
- MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
- UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D GenerationDiffusion models → 3D, point cloud and scene generation
- CharGen: Fast and Fluent Portrait ModificationDiffusion models → Image generation, text-to-image and editing
- Cogito, Ergo Ludo: An Agent that Learns to Play by Reasoning and PlanningLLM reasoning → Reasoning for agents, planning and code +1
- Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion ModelsDiffusion models → Discrete and text diffusion
- Scaling Synthetic Task Generation for Agents via ExplorationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic ArchitecturesMechanistic interpretability → Knowledge and representations inside LLMs
- GRACE-MoE: Grouping and Replication with Locality-Aware Routing for Efficient Distributed MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- Ultra-Fast Language Generation via Discrete Diffusion Divergence InstructDiffusion models → Discrete and text diffusion
- STAGE: Stable and Generalizable GRPO for Autoregressive Image GenerationLLM reasoning → Reinforcement learning for reasoning
- GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing ReasoningLLM reasoning → Spatial and embodied reasoning
- Deep Thinking by Markov Chain of Continuous ThoughtsLLM reasoning → Prompting and chain-of-thought reasoning
- CLPO: Curriculum Learning meets Policy Optimization for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Score-based Membership Inference on Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video DiffusionDiffusion models → 3D, point cloud and scene generation
- Path Diffuser: Diffusion Model for Data-Driven Traffic SimulatorDiffusion models → Diffusion and flow policies for robotics
- Sampling Complexity of TD and PPO in RKHSDeep reinforcement learning methods → RL theory and sample complexity
- Random Policy Valuation is Enough for LLM Reasoning with Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose EstimationDiffusion models → 3D, point cloud and scene generation
- Agentic Exploration of Physics ModelsLLM agents and tool use → Web, search, and research agents
- Double Descent as a Lens for Sample Efficiency in Autoregressive vs. Discrete Diffusion ModelsDiffusion models → Discrete and text diffusion
- Annotation-Free One-Shot Imitation Learning for Multi-Step Manipulation TasksOffline RL and imitation learning from data → Robot manipulation imitation learning
- SecInfer: Preventing Prompt Injection via Inference-time ScalingLLM reasoning → Reasoning for agents, planning and code +1
- The Dialogue That Heals: A Comprehensive Evaluation of Doctor Agents' Inquiry CapabilityLLM agents and tool use → Medical and scientific domain agents
- Intra-request branch orchestration for efficient LLM reasoningLLM reasoning → Test-time compute and efficient thinking
- MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- World-Env: Leveraging World Model as a Virtual Environment for VLA Post-TrainingWorld models → Embodied and robot world models +2
- Learning Distinguishable Representations in Deep Q-Networks for Linear TransferDeep reinforcement learning methods → Deep RL algorithms and representations
- MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training RecipesLLM reasoning → Reasoning benchmarks and evaluation
- Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive AgentsLLM agents and tool use → Multimodal and embodied agents
- OAT-FM: Optimal Acceleration Transport for Improved Flow MatchingDiffusion models → Flow matching, time series and science
- MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- From Code to Action: Hierarchical Learning of Diffusion-VLM PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- When Scores Learn Geometry: Rate Separations under the Manifold HypothesisDiffusion models → Diffusion foundations and sampling
- Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion TransformerDiffusion models → Video generation
- JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- VAGUEGAN: Stealthy Poisoning and Backdoor Attacks on Image Generative PipelinesDiffusion models → Robustness, privacy and adversarial aspects +1
- MMRQA: Signal-Enhanced Multimodal Large Language Models for MRI Quality AssessmentMultimodal LLMs / vision-language models → Medical vision-language models
- Expanding Computation Spaces of LLMs at Inference TimeLLM reasoning → Test-time compute and efficient thinking
- Environment-Aware Satellite Image Generation with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- StreamForest: Efficient Online Video Understanding with Persistent Event MemoryMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Retro*: Optimizing LLMs for Reasoning-Intensive Document RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning +1
- PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent SystemLLM agents and tool use → Web, search, and research agents
- ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language ModelsLLM reasoning → Multimodal reasoning +2
- Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density EstimationLLM reasoning → Reasoning benchmarks and evaluation
- SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH MatchingEfficient LLM inference and serving → KV cache optimization
- AIPOM: Agent-aware Interactive Planning for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation FrameworkKnowledge distillation → Knowledge distillation for LLMs
- Intelligent Optimization of Wireless Access Point Deployment for Communication-Based Train Control Systems Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical ReasoningLLM reasoning → Clinical and biomedical applications
- Query Circuits: Explaining How Language Models Answer User PromptsMechanistic interpretability → Circuits and mechanistic analysis
- DyMoDreamer: World Modeling with Dynamic ModulationWorld models → Latent dynamics models and model-based RL +1
- Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual GenerationDiffusion models → Image generation, text-to-image and editing
- Sparse Autoencoders Make Audio Foundation Models more ExplainableMechanistic interpretability → SAE features and their applications
- Vision Function Layer in Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- LOVE-R1: Advancing Long Video Understanding with an Adaptive Zoom-in Mechanism via Multi-Step ReasoningLLM reasoning → Multimodal reasoning
- Quantifying Generalisation in Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VTPerception-R1: Enhancing Multimodal Reasoning via Explicit Visual and Textual Perceptual GroundingLLM reasoning → Multimodal reasoning +1
- VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint LearningDiffusion models → Audio, speech and music
- LatentEvolve: Self-Evolving Test-Time Scaling in Latent SpaceLLM reasoning → Test-time compute and efficient thinking +1
- IA-VLA: Input Augmentation for Vision-Language-Action models in settings with semantically complex tasksVision-language-action models → Generalist VLA models and benchmarks
- Semantic-Aware Logical Reasoning via a Semiotic FrameworkLLM reasoning → Reasoning benchmarks and evaluation
- ExGS: Extreme 3D Gaussian Compression with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Robust Policy Expansion for Offline-to-Online RL under Diverse Data CorruptionOffline RL and imitation learning from data → Offline RL algorithms
- Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Socratic-Zero : Bootstrapping Reasoning via Data-Free Agent Co-evolutionLLM reasoning → Reasoning for agents, planning and code +2
- Circuit-Aware Reward Training: A Mechanistic Framework for Longtail Robustness in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Stop Before You Fail: Operational Capability Boundaries for Mitigating Unproductive Reasoning in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- MAD: Manifold Attracted DiffusionDiffusion models → Diffusion foundations and sampling
- SenSE: Semantic-Aware High-Fidelity Universal Speech EnhancementDiffusion models → Audio, speech and music
- MemGen: Weaving Generative Latent Memory for Self-Evolving AgentsLLM agents and tool use → Agent memory systems +1
- Enhancing Physical Plausibility in Video Generation by Reasoning the ImplausibilityDiffusion models → Video generation
- LISA Technical Report: An Agentic Framework for Smart Contract AuditingLLM agents and tool use → Agent threats, guardrails and governance
- Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed SteeringOffline RL and imitation learning from data → Real-world robot offline RL
- T-POP: Test-Time Personalization with Online Preference FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SANA-Video: Efficient Video Generation with Block Linear Diffusion TransformerDiffusion models → Video generation +1
- Understanding the Dilemma of Unlearning for Large Language ModelsLLM safety and security → Machine unlearning
- Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity BridgeLLM reasoning → Knowledge- and tool-augmented reasoning
- Learning Object-Centric Representations Based on Slots in Real World ScenariosDiffusion models → Image generation, text-to-image and editing
- RIFLE: Removal of Image Flicker-Banding via Latent Diffusion EnhancementDiffusion models → Inverse problems and image restoration
- Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMsLLM reasoning → Multimodal reasoning
- SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM ServingEfficient LLM inference and serving → KV cache optimization
- PRIVMARK: Private Large Language Models Watermarking with MPCLLM safety and security → Watermarking generated content and models
- FreeRet: MLLMs as Training-Free RetrieversMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Inducing Dyslexia in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PoseDiff: A Unified Diffusion Model Bridging Robot Pose Estimation and Video-to-Action ControlDiffusion models → Diffusion and flow policies for robotics
- SAIP: A Plug-and-Play Scale-adaptive Module in Diffusion-based Inverse ProblemsDiffusion models → Inverse problems and image restoration
- U-DiT Policy: U-shaped Diffusion Transformers for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty QuantificationLLM reasoning → Clinical and biomedical applications
- Emergent World Representations in OpenVLAWorld models → Embodied and robot world models +3
- Deep Reinforcement Learning in Action: Real-Time Control of Vortex-Induced VibrationsDeep reinforcement learning methods → RL with diffusion and flow models
- Unlocking the Potential of Soft Actor-Critic for Imitation LearningOffline RL and imitation learning from data → Imitation learning methods +1
- Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative AnalysisDiffusion models → Flow matching, time series and science
- Training Agents Inside of Scalable World ModelsWorld models → Latent dynamics models and model-based RL
- CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow Map ModelsDiffusion models → Flow matching, time series and science
- PhysiAgent: An Embodied Agent Framework in Physical WorldVision-language-action models → Generalist VLA models and benchmarks +1
- Agentic Specification Generator for Move ProgramsLLM agents and tool use → Software engineering coding agents
- Why Tree-Style Branching Matters for Thought Advantage Estimation in GRPOLLM reasoning → Reinforcement learning for reasoning
- Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Sanitize Your Responses: Mitigating Privacy Leakage in Large Language ModelsLLM safety and security → Prompt injection and agent security
- One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual LearningMixture-of-experts → Mixture of LoRA experts
- Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate TasksLLM reasoning → Spatial and embodied reasoning +1
- LaMoGen: Laban Movement-Guided Diffusion for Text-to-Motion GenerationDiffusion models → Video generation
- ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time ScalingLLM reasoning → Reinforcement learning for reasoning +1
- Generalist Multi-Class Anomaly Detection via Distillation to Two Heterogeneous Student NetworksKnowledge distillation → Detection and dense prediction distillation
- UI2V-Bench: An Understanding-based Image-to-video Generation BenchmarkDiffusion models → Video generation
- CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
- Muon: Training and Trade-offs with Latent Attention and MoEMixture-of-experts → Efficient MoE training and inference systems
- Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language AgentsLLM agents and tool use → Web, search, and research agents
- Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time ScalingLLM reasoning → Knowledge- and tool-augmented reasoning
- Unsupervised Single-Channel Speech Separation with Diffusion under Speaker-Embedding GuidanceDiffusion models → Audio, speech and music
- Towards Safe Reasoning in Large Reasoning Models via Corrective InterventionLLM reasoning → Reasoning for agents, planning and code +1
- UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-ModalitiesDiffusion models → Audio, speech and music
- LLaDA-MoE: A Sparse MoE Diffusion Language ModelDiffusion models → Discrete and text diffusion +1
- Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction-Reasoning SynergyLLM reasoning → Spatial and embodied reasoning +1
- HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness AssessmentLLM safety and security → Safety alignment, refusal and guardrails
- Agentic Services ComputingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMsLLM reasoning → Mathematical reasoning +1
- Reinforcement Mid-TrainingLLM reasoning → Reinforcement learning for reasoning
- From Satellite to Street: A Hybrid Framework Integrating Stable Diffusion and PanoGAN for Consistent Cross-View SynthesisDiffusion models → Diffusion and flow policies for robotics
- Watermarking Diffusion Language ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- UI-UG: A Unified MLLM for UI Understanding and GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- NeRV-Diffusion: Diffuse Implicit Neural Representations for Video SynthesisDiffusion models → Video generation
- From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process SupervisionLLM reasoning → Reinforcement learning for reasoning +1
- Hyperspherical Latents Improve Continuous-Token Autoregressive GenerationDiffusion models → Image generation, text-to-image and editing
- Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-ResolutionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Speculative Verification: Exploiting Information Gain to Refine Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- MAS2: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A SurveyLLM reasoning → Audio-language model reasoning +1
- SONAR: Semantic-Object Navigation with Aggregated Reasoning through a Cross-Modal Inference ParadigmLLM reasoning → Spatial and embodied reasoning +1
- Similarity-Aware Selective State-Space Modeling for Semantic CorrespondenceState-space sequence models (S4, Mamba) → Vision Mamba backbones
- MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical ReasoningLLM reasoning → Clinical and biomedical applications +2
- Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame SpotlightingLLM reasoning → Multimodal reasoning +1
- SVGThinker: Instruction-Aligned and Reasoning-Driven Text-to-SVG GenerationLLM reasoning → Multimodal reasoning
- Q-Mirror: Unlocking the Multi-Modal Potential of Scientific Text-Only QA PairsLLM reasoning → Knowledge- and tool-augmented reasoning
- DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language ModelsLLM safety and security → Jailbreaking
- ASIA: Adaptive 3D Segmentation using Few Image AnnotationsDiffusion models → 3D, point cloud and scene generation
- SCI-Verifier: Scientific Verifier with ThinkingLLM reasoning → Knowledge- and tool-augmented reasoning
- SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- G-reasoner: Foundation Models for Unified Reasoning over Graph-structured KnowledgeLLM reasoning → Knowledge- and tool-augmented reasoning
- Adversarial Reinforcement Learning Framework for ESP Cheater SimulationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +2
- Cycle Diffusion Model for Counterfactual Image GenerationDiffusion models → Medical imaging and segmentation
- PAME-AI: Patient Messaging Creation and Optimization using Agentic AILLM agents and tool use → Medical and scientific domain agents
- Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Rethinking and Benchmarking Large Language Models for Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MRAG-Suite: A Diagnostic Evaluation Platform for Visual Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Latent Visual ReasoningLLM reasoning → Multimodal reasoning +1
- SpecExit: Accelerating Large Reasoning Model via Speculative ExitLLM reasoning → Test-time compute and efficient thinking +1
- SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier FunctionsDiffusion models → Diffusion and flow policies for robotics
- FreeAction: Training-Free Techniques for Enhanced Fidelity of Trajectory-to-Video GenerationWorld models → Embodied and robot world models
- Takedown: How It's Done in Modern Coding Agent ExploitsLLM agents and tool use → Agent threats, guardrails and governance
- ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Learning to Ponder: Adaptive Reasoning in Latent SpaceLLM reasoning → Test-time compute and efficient thinking +1
- EVLF-FM: Explainable Vision Language Foundation Model for MedicineLLM reasoning → Clinical and biomedical applications +1
- ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- MDD-Thinker: Towards Large Reasoning Models for Major Depressive Disorder DiagnosisLLM reasoning → Clinical and biomedical applications
- ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Humanline: Online Alignment as Perceptual LossLLM reasoning → Reinforcement learning for reasoning +1
- Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its FriendsLLM reasoning → Reinforcement learning for reasoning
- An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI GenerationDiffusion models → Medical imaging and segmentation
- AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-PlayLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Talk in Pieces, See in Whole: Disentangled and Hierarchical Representation Learning in Language-based Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- SPECTRA: Revealing the Full Spectrum of User Preferences via Distributional LLM InferenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Retrieval-augmented GUI Agents with Generative GuidelinesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Model Correlation Detection via Random Selection ProbingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Stable Forgetting: Bounded Parameter-Efficient Unlearning in Foundation ModelsLLM safety and security → Machine unlearning
- Preference-Based Long-Horizon Robotic Stacking with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Your thoughts tell who you are: Characterize the reasoning patterns of LRMsLLM reasoning → Test-time compute and efficient thinking
- Asymmetric VAE for One-Step Video Super-Resolution AccelerationDiffusion models → Inverse problems and image restoration
- Predicting Oscar-Nominated Screenplays with Sentence Embeddings
- A Biophysical-Model-Informed Source Separation Framework For EMG Decomposition
- Intent-Driven Storage Systems: From Low-Level Tuning to High-Level Understanding
- AutoCode: LLMs as Problem Setters for Competitive Programming
- Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
- Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models
- A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
- Hallucination is Inevitable for LLMs with the Open World Assumption
- CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models
- Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced Regimes
- Multimodal Arabic Captioning with Interpretable Visual Concept Integration
- Domain-Robust Marine Plastic Detection Using Vision Models
- Visualizing Celebrity Dynamics in Video Content: A Proposed Approach Using Face Recognition Timestamp Data
- UniPruning: Unifying Local Metric and Global Feedback for Scalable Sparse LLMs
- Single-Core Superscalar Optimization of Clifford Neural Layers
- LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
- SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
- A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
- Pretraining with hierarchical memories: separating long-tail and common knowledge
- A Hybrid CAPTCHA Combining Generative AI with Keystroke Dynamics for Enhanced Bot Detection
- Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
- How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
- Modeling Others' Minds as Code
- Identifying Information-Transfer Nodes in a Recurrent Neural Network Reveals Dynamic Representations
- AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
- Identifying All ε-Best Arms in (Misspecified) Linear Bandits
- Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Automotive Industry
- FedLLM-Align: Feature Extraction From Heterogeneous Clients
- Efficient CNN Compression via Multi-method Low Rank Factorization and Feature Map Similarity
- Survey of AI-Powered Approaches for Osteoporosis Diagnosis in Medical Imaging
- FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentation
- GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification
- Echoes of Humanity: Exploring the Perceived Humanness of AI Music
- Coupling Generative Modeling and an Autoencoder with the Causal Bridge
- Building the EHR Foundation Model via Next Event Prediction
- MetaChest: Generalized few-shot learning of pathologies from chest X-rays
- Conservative Decisions with Risk Scores
- AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
- Lightweight and Robust Federated Data Valuation
- A(I)nimism: Re-enchanting the World Through AI-Mediated Object Interaction
- Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer
- Unifying Agent Interaction and World Information for Multi-agent Coordination
- Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images
- Don't Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
- Performance and competence intertwined: A computational model of the Null Subject stage in English-speaking children
- Online Mapping for Autonomous Driving: Addressing Sensor Generalization and Dynamic Map Updates in Campus Environments
- RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scale
- Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions
- Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization
- Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
- Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing
- Personalized Auto-Grading and Feedback System for Constructive Geometry Tasks Using Large Language Models on an Online Math Platform
- LLM-RG: Referential Grounding in Outdoor Scenarios using Large Language Models
- Economic Competition, EU Regulation, and Executive Orders: A Framework for Discussing AI Policy Implications in CS Courses
- Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
- Robust Visual Localization in Compute-Constrained Environments by Salient Edge Rendering and Weighted Hamming Similarity
- Beyond WER: Probing Whisper's Sub-token Decoder Across Diverse Language Resource Levels
- AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
- One-shot Conditional Sampling: MMD meets Nearest Neighbors
- XR Blocks: Accelerating Human-centered AI + XR Innovation
- DeepFake Detection in Dyadic Video Calls using Point of Gaze Tracking
- Not Wrong, But Untrue: LLM Overconfidence in Document-Based Queries
- EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition
- Scalable Disk-Based Approximate Nearest Neighbor Search with Page-Aligned Graph
- Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
- Message passing-based inference in an autoregressive active inference agent
- Fair Classification by Direct Intervention on Operating Characteristics
- Translation from Wearable PPG to 12-Lead ECG
- Discontinuous Epitope Fragments as Sufficient Target Templates for Efficient Binder Design
- The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis
- Conformal Prediction for Signal Temporal Logic Inference
- Data-Efficient Multitask DAgger
- Plug-and-Play Emotion Graphs for Compositional Prompting in Zero-Shot Speech Emotion Recognition
- Infrastructure Sensor-enabled Vehicle Data Generation using Multi-Sensor Fusion for Proactive Safety Applications at Work Zone
- Multi-patch isogeometric neural solver for partial differential equations on computer-aided design domains
- Joint Embeddings Go Temporal
- Neural Optimal Transport Meets Multivariate Conformal Prediction
- Norm-Q: Effective Compression Method for Hidden Markov Models in Neuro-Symbolic Applications
- Bayesian Transformer for Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
- GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching
- The Open Syndrome Definition
- Feedback Control for Small Budget Pacing
- Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
- Multi-Task Equation Discovery
- A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
- Crowdsourcing Without People: Modelling Clustering Algorithms as Experts
- Multi-modal Spatio-Temporal Transformer for High-resolution Land Subsidence Prediction
- On the Shape of Latent Variables in a Denoising VAE-MoG: A Posterior Sampling-Based Study
- Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
- Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
- Cold-Start Active Correlation Clustering
- Saliency Guided Longitudinal Medical Visual Question Answering
- Generative Value Conflicts Reveal LLM Priorities
- Geometric Metrics and LLMs: What They Measure and When They Work
- Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region
- Editing Physiological Signals in Videos Using Latent Representations
- Spontaneous High-Order Generalization in Neural Theory-of-Mind Networks
- VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
- Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
- Aspects of holographic entanglement using physics-informed-neural-networks
- Learning Relationships Between Separate Audio Tracks for Creative Applications
- AI in Pakistani Schools: Adoption, Usage, and Perceived Impact among Educators
- ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
- Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
- ActorDB: A Unified Database Model Integrating Single-Writer Actors, Incremental View Maintenance, and Zero-Trust Messaging
- Effectiveness of Large Language Models in Simulating Regional Psychological Structures: An Empirical Examination of Personality and Subjective Well-being
- Mechanisms of Matter: Language Inferential Benchmark on Physicochemical Hypothesis in Materials Synthesis
- Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution
- RL in the Wild: Characterizing RLVR Training in LLM Deployment
- VGGT-X: When VGGT Meets Dense Novel View Synthesis
- FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation
- Guided Diffusion for the Discovery of New Superconductors
- Incentive-Aligned Multi-Source LLM Summaries
- PAD3R: Pose-Aware Dynamic 3D Reconstruction from Casual Videos
- DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
- NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
- EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
- Personalized Vision via Visual In-Context Learning
- YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
- Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
- Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units
- Who's Your Judge? On the Detectability of LLM-Generated Judgments
- High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
- Pretraining Large Language Models with NVFP4
- Fast Feature Field (F3): A Predictive Representation of Events
- Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs
- Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
- The Era of Real-World Human Interaction: RL from User Conversations
- BALF: Budgeted Activation-Aware Low-Rank Factorization for Fine-Tuning-Free Model Compression
- Learning in an Echo Chamber: Online Learning with Replay Adversary
- LayerD: Decomposing Raster Graphic Designs into Layers
- MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech
- On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms
- From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones
- Triangle Splatting+: Differentiable Rendering with Opaque Triangles
- AI Driven Discovery of Bio Ecological Mediation in Cascading Heatwave Risks
- Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
- Towards generalizable deep ptychography neural networks
- Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
- Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
- Scaling with Collapse: Efficient and Predictable Training of LLM Families
- jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
- Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI
- BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
- GEM: 3D Gaussian Splatting for Efficient and Accurate Cryo-EM Reconstruction
- An empirical study on the limitation of Transformers in program trace generation
- Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications
- Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
- Symmetry-Aware Bayesian Optimization via Max Kernels
- Efficient Hyperparameter Tuning via Trajectory Invariance Principle
- Confidence-Guided Error Correction for Disordered Speech Recognition
- A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration
- Large Language Models for Software Testing: A Research Roadmap
- Fast Real-Time Pipeline for Robust Arm Gesture Recognition
- A multiscale analysis of mean-field transformers in the moderate interaction regime
- GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
- VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
- AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
- Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios
- Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
- CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
- Circuit Distillation
- LVT: Large-Scale Scene Reconstruction via Local View Transformers
- Embedded Deep Learning for Bio-hybrid Plant Sensors to Detect Increased Heat and Ozone Levels
- Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
- Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
- Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
- DiffuTester: Accelerating Unit Test Generation for Diffusion LLMs via Mining Structural Pattern
- On-the-Fly Data Augmentation for Brain Tumor Segmentation
- Event-based Facial Keypoint Alignment via Cross-Modal Fusion Attention and Self-Supervised Multi-Event Representation Learning
- Social 3D Scene Graphs: Modeling Human Actions and Relations for Interactive Service Robots
- Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
- SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
- Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection
- Scalable GANs with Transformers
- KIRETT -- A wearable device to support rescue operations using artificial intelligence to improve first aid
- Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
- Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
- How Well Do LLMs Imitate Human Writing Style?
- When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
- When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training
- A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
- Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
- Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
- Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
- Learning Goal-Oriented Vision-and-Language Navigation with Self-Improving Demonstrations at Scale
- BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications
- Neural network embeddings recover value dimensions from psychometric survey items on par with human data
- DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits
- Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
- OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
- Accurate Cobb Angle Estimation via SVD-Based Curve Detection and Vertebral Wedging Quantification
- RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
- DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
- Towards Understanding the Shape of Representations in Protein Language Models
- Improved Stochastic Optimization of LogSumExp
- HBSplat: Robust Sparse-View Gaussian Reconstruction with Hybrid-Loss Guided Depth and Bidirectional Warping
- Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
- Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
- Vehicle Classification under Extreme Imbalance: A Comparative Study of Ensemble Learning and CNNs
- ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
- The Emergence of Social Science of Large Language Models
- Uncertainty-Guided Expert-AI Collaboration for Efficient Soil Horizon Annotation
- DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
- Metaphor identification using large language models: A comparison of RAG, prompt engineering, and fine-tuning
- Improved Robustness from Biologically Inspired Sparse Contrast Representations
- ELPG-DTFS: Prior-Guided Adaptive Time-Frequency Graph Neural Network for EEG Depression Diagnosis
- Between Help and Harm: An Evaluation of Mental Health Crisis Handling by LLMs
- Beyond the Hook: Predicting Billboard Hot 100 Chart Inclusion with Machine Learning from Streaming, Audio Signals, and Perceptual Features
- PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement
- A Hierarchical Error Framework for Reliable Automated Coding in Communication Research: Applications to Health and Political Communication
- Cell2Text: Multimodal LLM for Generating Single-Cell Descriptions from RNA-Seq Data
- Evaluating SAP Joule for Code Generation
- Putnam-like dataset summary: LLMs as mathematical competition contestants
- Of-SemWat: High-payload text embedding for semantic watermarking of AI-generated images with arbitrary size
- UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections
- Efficient Sketching and Nearest Neighbor Search Algorithms for Sparse Vector Sets
- A Greedy PDE Router for Blending Neural Operators and Classical Methods
- RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off
- TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
- TACO-Net: Topological Signatures Triumph in 3D Object Classification
- Physics-informed learning under mixing: How physical knowledge speeds up learning
- DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
- Fidelity-Aware Data Composition for Robust Robot Generalization
- Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions
- Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting
- Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
- SkyLink: Unifying Street-Satellite Geo-Localization via UAV-Mediated 3D Scene Alignment
- MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
- Neural Message-Passing on Attention Graphs for Hallucination Detection
- In-Context Learning of Temporal Point Processes with Foundation Inference Models
- Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG
- Surjective Independence of Causal Influences for Local Bayesian Network Structures
- ProxyAttn: Guided Sparse Attention via Representative Heads
- Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
- Bundle Network: a Machine Learning-Based Bundle Method
- A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
- Who invented deep residual learning?
- Evaluation of Polarimetric Fusion for Semantic Segmentation in Aquatic Environments
- Beyond Softmax: A Natural Parameterization for Categorical Random Variables
- Q-Net: Queue Length Estimation via Kalman-based Neural Networks
- Discrete Variational Autoencoding via Policy Search
- IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?
- FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
- CoTune: Co-evolutionary Configuration Tuning
- Traumatic Brain Injury Segmentation using an Ensemble of Encoder-decoder Models
- Classifier-Centric Adaptive Framework for Open-Vocabulary Camouflaged Object Segmentation
- Data-Driven Discrete Geofence Design Using Binary Quadratic Programming
- Reference-Free Rating of LLM Responses via Latent Information
- InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
- Community detection robustness of graph neural networks
- CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
- Successful Misunderstandings: Learning to Coordinate Without Being Understood
- VNODE: A Piecewise Continuous Volterra Neural Network
- HyperHELM: Hyperbolic Hierarchy Encoding for mRNA Language Modeling
- "Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teaching
- Hype or not? Formalizing Automatic Promotional Language Detection in Biomedical Research
- Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach
- LTLf Learning Meets Boolean Set Cover
- HiKE: Hierarchical Evaluation Framework for Korean-English Code-Switching Speech Recognition
- Evaluating classification performance across operating contexts: A comparison of decision curve analysis and cost curves
- Algorithms and data structures for automatic precision estimation of neural networks
- Biomechanical-phase based Temporal Segmentation in Sports Videos: a Demonstration on Javelin-Throw
- Discovering "Words" in Music: Unsupervised Learning of Compositional Sparse Code for Symbolic Music
- CURA: Size Isnt All You Need -- A Compact Universal Architecture for On-Device Intelligence
- Comprehensive Benchmarking of YOLOv11 Architectures for Scalable and Granular Peripheral Blood Cell Detection
- BPMN Assistant: An LLM-Based Approach to Business Process Modeling
- BFSM: 3D Bidirectional Face-Skull Morphable Model
- Prompting Robot Teams with Natural Language
- Learning to Solve Optimization Problems Constrained with Partial Differential Equations
- SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Robotics
- Bandits roaming Hilbert space
- NeMo: Needle in a Montage for Video-Language Understanding
- Short window attention enables long-term memorization
- Training-Free Multimodal Guidance for Video to Audio Generation
- LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection
- Foggy Crowd Counting: Combining Physical Priors and KAN-Graph
- Quantitative convergence of trained single layer neural networks to Gaussian processes
- CORE-3D: Context-aware Open-vocabulary Retrieval by Embeddings in 3D
- Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting
- Instruction Guided Multi Object Image Editing with Quantity and Layout Consistency
- Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
- Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design
- Building Benchmarks from the Ground Up: Community-Centered Evaluation of LLMs in Healthcare Chatbot Settings
- Robust Multimodal Semantic Segmentation with Balanced Modality Contributions
- SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings
- A Novel Preprocessing Unit for Effective Deep Learning based Classification and Grading of Diabetic Retinopathy
- LLM DNA: Tracing Model Evolution via Functional Representations
- Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
- Preference-Based Dynamic Ranking Structure Recognition
- Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model
- Overcoming Over-Fitting in Constraint Acquisition via Query-Driven Interactive Refinement
- A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems
- Performance-Efficiency Trade-off for Fashion Image Retrieval
- FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
- Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset
- Interpretable Self-Supervised Learning via Representer Landmarks and Nystr"om Approximation
- Moravec's Paradox and Restrepo's Model: Limits of AGI Automation in Growth
- An Agent-Based Framework for Automated Higher-Voice Harmony Generation
- Distributionally Robust Federated Learning with Outlier Resilience
- Convergence of graph Dirichlet energies and graph Laplacians on intersecting manifolds of varying dimensions
- Assessing speech quality metrics for evaluation of neural audio codecs under clean speech conditions
- Contrastive Learning for Correlating Network Incidents
- Beyond Isolated Facts: Synthesizing Narrative and Grounded Supervision for VideoQA
- A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
- NeoWorld: Neural Simulation of Explorable Virtual Worlds via Progressive 3D Unfolding
- EOE: Evolutionary Optimization of Experts for Training Language Models
- Alternatives To Next Token Prediction In Text Generation -- A Survey
- Semantic Compression via Multimodal Representation Learning
- BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification
- Multi-Item-Query Attention for Stable Sequential Recommendation
- Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
- CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
- Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting
- A Data-Centric Perspective on the Influence of Image Data Quality in Machine Learning Models
- ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
- Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
- RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis
- From Sound to Setting: AI-Based Equalizer Parameter Prediction for Piano Tone Replication
- The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policies
- PCICF: A Pedestrian Crossing Identification and Classification Framework
- REMAP: Regularized Matching and Partial Alignment of Video Embeddings
- AXIS: Explainable Time Series Anomaly Detection with Large Language Models
- Mask Clustering-based Annotation Engine for Large-Scale Submeter Land Cover Mapping
- Prediction-Powered Communication with Distortion Guarantees
- Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
- DINOReg: Strong Point Cloud Registration with Vision Foundation Model
- R2M: Real-Aware Residual Model Merging for Robust and Generalizable Deepfake Detection
- Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
- DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
- An Enhanced Pyramid Feature Network Based on Long-Range Dependencies for Multi-Organ Medical Image Segmentation
- Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining
- Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA
- Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters
- Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning
- humancompatible.detect: a Python Toolkit for Detecting Bias in AI Models
- AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
- Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
- H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
- TP-MVCC: Tri-plane Multi-view Fusion Model for Silkie Chicken Counting
- Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
- TraitSpaces: Towards Interpretable Visual Creativity for Human-AI Co-Creation
- ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenes
- AuON: A Linear-time Alternative to Orthogonal Momentum Updates
- Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models
- Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
- PEARL: Performance-Enhanced Aggregated Representation Learning
- Towards Foundation Models for Cryo-ET Subtomogram Analysis
- OMeGa: Joint Optimization of Explicit Meshes and Gaussian Splats for Robust Scene-Level Surface Reconstruction
- A study of Universal ODE approaches to predicting soil organic carbon
- Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business
- LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces
- Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
- LOGOS: LLM-driven End-to-End Grounded Theory Development and Schema Induction for Qualitative Research
- ActiveCQ: Active Estimation of Causal Quantities
- Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
- Overview of SCIDOCA 2025 Shared Task on Citation Prediction, Discovery, and Placement
- Robust Partial 3D Point Cloud Registration via Confidence Estimation under Global Context
- Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds
- S2NN: Sub-bit Spiking Neural Networks
- Graph-Based Learning of Free Surface Dynamics in Generalized Newtonian Fluids using Smoothed Particle Hydrodynamics
- LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
- VeriLLM: A Lightweight Framework for Publicly Verifiable Decentralized Inference
- Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
- Cognitive State Inference from VR Motion via Motion Foundation Model
- Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns
- Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations
- Prompt and Parameter Co-Optimization for Large Language Models
- Model Merging Scaling Laws in Large Language Models
- PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization
- Model Fusion with Multi-LoRA Inference for Tool-Enhanced Game Dialogue Agents
- Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
- Non-Invasive Detection of PROState Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI
- Proposing a Framework for Machine Learning Adoption on Legacy Systems
- Semantic Editing with Coupled Stochastic Differential Equations
- Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
- Conda: Column-Normalized Adam for Training Large Language Models Faster
- MoVa: Towards Generalizable Classification of Human Morals and Values
- Metamorphic Testing for Audio Content Moderation Software
- Scalable Audio-Visual Masked Autoencoders for Efficient Affective Video Facial Analysis
- Forge4D: Feed-Forward 4D Human Reconstruction and Interpolation from Uncalibrated Sparse-view Videos
- BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
- Can Large Language Models Express Uncertainty Like Human?
- UniVid: The Open-Source Unified Video Model
- Negative Pre-activations Differentiate Syntax
- Chat to Chip: Large Language Model Based Design of Arbitrarily Shaped Metasurfaces
- Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks
- Simulating Post-Neoadjuvant Chemotherapy Breast Cancer MRI via Diffusion Model with Prompt Tuning
- Tumor Synthesis conditioned on Radiomics
- Combining Discrepancy-Confusion Uncertainty and Calibration Diversity for Active Fine-Grained Image Classification
- High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
- FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
- Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight
- Multi-Scale Geometric Autoencoder
- LatXGen: Towards Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment Via Cross-Modal Radiographic View Synthesis
- Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis
- Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation
- Towards Efficient Inference under Nonmonotone Missingness with General Imputation
- STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades
- Neural Visibility of Point Sets
- Accelerating Cerebral Diagnostics with BrainFusion: A Comprehensive MRI Tumor Framework
- TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation
- Evaluation of Machine and Deep Learning Techniques for Cyclone Trajectory Regression and Status Classification by Time Series Data
- From Headlines to Holdings: Deep Learning for Smarter Portfolio Decisions
- A signal separation view of classification
- Analysis of Bias in Deep Learning Facial Beauty Regressors
- EYE-DEX: Eye Disease Detection and EXplanation System
- ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
- Generalist Scanner Meets Specialist Locator: A Synergistic Coarse-to-Fine Framework for Robust GUI Grounding