Papers
Tue 17 Mar 2026
485 papers
- Invisible Orchestrators Suppress Protective Behavior and Dissociate Power-Holders: Safety Risks in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- AgriIR: A Scalable Framework for Domain-Specific Knowledge RetrievalRetrieval-augmented generation → Time series and agricultural RAG
- Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal ScalingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Consciousness Cluster: Emergent preferences of Models that Claim to be ConsciousLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Medical Reasoning with Large Language Models: A Survey and MR-BenchLLM reasoning → Clinical and biomedical applications
- WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech ModelsKnowledge distillation → Speech and audio distillation
- Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language ModelsDiffusion models → Discrete and text diffusion +2
- Agentic AI for Human Resources: LLM-Driven Candidate AssessmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- PI-Mamba: Linear-Time Protein Backbone Generation via Spectrally Initialized Flow MatchingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic EnvironmentsLLM agents and tool use → Social simulation and multi-agent debate
- Mitigating Premature Discretization with Progressive Quantization for Robust Vector TokenizationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory SynthesisLLM agents and tool use → Web, search, and research agents
- Understanding Pruning Regimes in Vision-Language Models Through Domain-Aware Layer SelectionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human ValidationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Alignment Makes Language Models Normative, Not DescriptiveLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ML-AutoResearch: Training Machine Learning Research Agents with Automatically Generated EnvironmentsLLM agents and tool use → Web, search, and research agents
- CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL OptimizationLLM agents and tool use → Software engineering coding agents
- Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probingLLM reasoning → Prompting and chain-of-thought reasoning
- MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the WildLLM agents and tool use → Agent skill learning and evolution
- Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
- Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented ScanningLLM safety and security → Jailbreaking
- Generalist Multimodal LLMs Gain Biometric Expertise via Human SalienceMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game EnvironmentLLM reasoning → Reasoning for agents, planning and code +1
- Shielded Reinforcement Learning Under Dynamic Temporal Logic ConstraintsDeep reinforcement learning methods → Safe and constrained RL
- Intent Formalization: A Grand Challenge for Reliable Coding in the Age of AI AgentsLLM agents and tool use → Software engineering coding agents
- MosaicMem: Hybrid Spatial Memory for Controllable Video World ModelsWorld models → Video-generation world models and simulators +1
- Hidden Clones: Exposing and Fixing Family Bias in Vision-Language Model EnsemblesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM-Powered Flood Depth Estimation from Social Media Imagery: A Vision-Language Model Framework with Mechanistic Interpretability for Transportation ResilienceMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding AgentsLLM agents and tool use → Software engineering coding agents
- Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual InconsistencyMixture-of-experts → MoE large language models
- SLowRL: Safe Low-Rank Adaptation Reinforcement Learning for LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ACE-LoRA: Graph-Attentive Context Enhancement for Parameter-Efficient Adaptation of Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- CircuitBuilder: From Polynomials to Circuits via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Large Reasoning Models Struggle to Transfer Parametric Knowledge Across ScriptsLLM reasoning → Reasoning benchmarks and evaluation
- PaAgent: Portrait-Aware Image Restoration Agent via Subjective-Objective Reinforcement LearningMultimodal LLMs / vision-language models → Image editing and quality assessment +2
- Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video ModelsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum MaterialsLLM reasoning → Clinical and biomedical applications +1
- HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language ReasoningLLM reasoning → Multimodal reasoning +2
- LLM NL2SQL Robustness: Surface Noise vs. Linguistic Variation in Traditional and Agentic SettingsLLM agents and tool use → Web, search, and research agents
- Empirical Recipes for Efficient and Compact Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Rewarding DINO: Predicting Dense Rewards with Vision Foundation ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DeepStage: Learning Autonomous Defense Policies Against Multi-Stage APT CampaignsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- MSRAMIE: Multimodal Structured Reasoning Agent for Multi-instruction Image EditingLLM reasoning → Multimodal reasoning +1
- Adversarial attacks against Modern Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric RepresentationWorld models → Video-generation world models and simulators +1
- Demystifying Video ReasoningLLM reasoning → Multimodal reasoning +1
- Efficient Reasoning on the EdgeLLM reasoning → Test-time compute and efficient thinking +2
- Chronos: Temporal-Aware Conversational Agents with Structured Event Retrieval for Long-Term MemoryLLM agents and tool use → Agent memory systems
- DreamPlan: Efficient Reinforcement Fine-Tuning of Vision-Language Planners via Video World ModelsWorld models → Embodied and robot world models +2
- Stochastic Resetting Accelerates Reinforcement Learning Beyond Random SearchDeep reinforcement learning methods → Deep RL algorithms and representations
- Learning to Present: Inverse Specification Rewards for Agentic Slide GenerationLLM agents and tool use → Multimodal and embodied agents
- Prompt Programming for Cultural Bias and Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Deep Reinforcement Learning-driven Edge Offloading for Latency-constrained XR pipelinesDeep reinforcement learning methods → RL for energy, networks and operations
- Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic InsightsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion SamplingDiffusion models → Inverse problems and image restoration
- V-Co: A Closer Look at Visual Representation Alignment via Co-DenoisingDiffusion models → Diffusion foundations and sampling
- IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral ScansMultimodal LLMs / vision-language models → Medical vision-language models
- Anticipatory Planning for Multimodal AI AgentsDeep reinforcement learning methods → RL training of language and agent models
- Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern GenerationDiffusion models → 3D, point cloud and scene generation
- Nonstandard Errors in AI AgentsLLM agents and tool use → Social simulation and multi-agent debate
- SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG DecodingMixture-of-experts → Medical and biomedical MoE
- Retrieving Counterfactuals Improves Visual In-Context LearningLLM reasoning → Multimodal reasoning +1
- World Reconstruction From Inconsistent ViewsDiffusion models → 3D, point cloud and scene generation
- Differential Harm Propensity in Personalized LLM Agents: The Curious Case of Mental Health DisclosureLLM agents and tool use → Agent threats, guardrails and governance +1
- IQuest-Coder-V1 Technical ReportLLM agents and tool use → Software engineering coding agents
- The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Predictive Statistics Shape Emergent World Representations of Grid WalkersWorld models → Latent predictive world models
- HMAR: Hierarchical Modality-Aware Expert and Dynamic Routing Medical Image Retrieval ArchitectureMixture-of-experts → Medical and biomedical MoE
- When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-MakingLLM reasoning → Spatial and embodied reasoning
- Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied SimulationWorld models → Embodied and robot world models
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?World models → Embodied and robot world models +1
- Kestrel: Grounding Self-Refinement for LVLM Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Self-Aware Markov Models for Discrete ReasoningDiffusion models → Discrete and text diffusion
- Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End PipelineDeep reinforcement learning methods → RL training of language and agent models
- Mixture of Style Experts for Diverse Image StylizationMixture-of-experts → Vision mixture-of-experts
- Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM SycophancyLLM reasoning → Prompting and chain-of-thought reasoning
- MLLM-based Textual Explanations for Face ComparisonMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Domain Mixture Design via Log-Likelihood Differences for Aligning Language Models with a Target ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLM Reward ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Runtime Governance for AI Agents: Policies on PathsLLM agents and tool use → Agent threats, guardrails and governance
- V-DyKnow: A Dynamic Benchmark for Time-Sensitive Knowledge in Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- When and Why Does Unsupervised RL Succeed in Mathematical Reasoning? A Manifold Envelopment PerspectiveLLM reasoning → Reinforcement learning for reasoning
- REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation ModelsLLM safety and security → Vision-language and text-to-image safety
- VideoMatGen: PBR Materials through Joint Generative ModelingDiffusion models → 3D, point cloud and scene generation
- Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language ModelsLLM reasoning → Audio-language model reasoning
- FleetOpt: Analytical Fleet Provisioning for LLM Inference with Compress-and-Route as Implementation MechanismEfficient LLM inference and serving → Serving systems and request scheduling
- VIEW2SPACE: Studying Multi-View Visual Reasoning from Sparse ObservationsLLM reasoning → Multimodal reasoning
- From the Inside Out: Progressive Distribution Refinement for Confidence CalibrationLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue AgentsLLM agents and tool use → Agent memory systems
- Unlearning for One-Step Generative Models via Unbalanced Optimal TransportLLM safety and security → Vision-language and text-to-image safety
- Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate StructuresLLM reasoning → Prompting and chain-of-thought reasoning
- Follow the Clues, Frame the Truth: Hybrid-evidential Deductive Reasoning in Open-Vocabulary Multimodal Emotion RecognitionLLM reasoning → Audio-language model reasoning
- GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
All 485
- RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail EnvironmentsLLM agents and tool use → Social simulation and multi-agent debate
- TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown SchemasDeep reinforcement learning methods → RL training of language and agent models
- Visual Distraction Undermines Moral Reasoning in Vision-Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Fast-HaMeR: Boosting Hand Mesh Reconstruction using Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language ModelsMechanistic interpretability → SAE features and their applications
- CD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object DetectionKnowledge distillation → Detection and dense prediction distillation
- SF-Mamba: Rethinking State Space Model for VisionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk PredictionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Via Negativa for AI Alignment: Why Negative Constraints Are Structurally Superior to Positive PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- IndexRAG: Bridging Facts for Cross-Document Reasoning at Index TimeLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RECOVER: Robust Entity Correction via agentic Orchestration of hypothesis Variants for Evidence-based RecoveryLLM agents and tool use → General LLM agent frameworks and benchmarks
- PlotTwist: A Creative Plot Generation Framework with Small Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- Robust Physics-Guided Diffusion for Full-Waveform InversionDiffusion models → Flow matching, time series and science
- DermaFlux: Synthetic Skin Lesion Generation with Rectified Flows for Enhanced Image ClassificationDiffusion models → Medical imaging and segmentation
- Controlling Fish Schools via Reinforcement Learning of Virtual Fish MovementDeep reinforcement learning methods → RL for robot navigation and UAV control
- Encoding Predictability and Legibility for Style-Conditioned Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- DynamicGate MLP Conditional Computation via Learned Structural Dropout and Input Dependent Gating for Functional PlasticityMixture-of-experts → MoE theory and gating functions
- D3-RSMDE: 40× Faster and High-Fidelity Remote Sensing Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Behavioral Steering in a 35B MoE Language Model via SAE-Decoded Probe Vectors: One Agency Axis, Not Five TraitsLLM agents and tool use → General LLM agent frameworks and benchmarks +2
- Decoding the Critique Mechanism in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- DriveFix: Spatio-Temporally Coherent Driving Scene RestorationDiffusion models → Diffusion and flow policies for robotics +1
- VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing AgentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Agile Interception of a Flying Target using Competitive Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative AlignmentDiffusion models → 3D, point cloud and scene generation +1
- Adaptive Theory of Mind for LLM-based Multi-Agent CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object DetectionMixture-of-experts → Vision mixture-of-experts
- When Thinking Hurts: Mitigating Visual Forgetting in Video Reasoning via Frame RepetitionLLM reasoning → Multimodal reasoning +1
- Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward ModelsLLM reasoning → Multimodal reasoning +1
- Visual Prompt Discovery via Semantic ExplorationLLM reasoning → Multimodal reasoning
- Dual Consensus: Escaping from Spurious Majority in Unsupervised RLVR via Two-Stage Vote MechanismLLM reasoning → Reinforcement learning for reasoning
- SpecSteer: Synergizing Local Context and Global Reasoning for Efficient Personalized GenerationLLM reasoning → Test-time compute and efficient thinking
- Enabling Dynamic Tracking in Vision-Language-Action Models via Time-Discrete and Time-Continuous Velocity FeedforwardVision-language-action models → Efficient VLA inference and adaptation
- CoMAI: A Collaborative Multi-Agent Framework for Robust and Equitable Interview EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Leveling3D: Leveling Up 3D Reconstruction with Feed-Forward 3D Gaussian Splatting and Geometry-Aware GenerationDiffusion models → 3D, point cloud and scene generation
- MOSAIC: Composable Safety Alignment with Modular Control TokensLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- PanguMotion: Continuous Driving Motion Forecasting with Pangu TransformersEnd-to-end autonomous driving → Generative simulation for driving
- Structured Semantic Cloaking for Jailbreak Attacks on Large Language ModelsLLM safety and security → Jailbreaking
- Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion ControlDiffusion models → Diffusion and flow policies for robotics
- KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child SafetyLLM reasoning → Reasoning for agents, planning and code
- Task-Specified Compliance Bounds for Humanoids via Lipschitz-Constrained PoliciesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- 360deg Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free MethodMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- The Finetuner's Fallacy: When to Pretrain with Your Finetuning DataWorld models → World models for language agents
- Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory AggregationLLM agents and tool use → Reinforcement learning for LLM agents
- Execution-Grounded Credit Assignment for GRPO in Code GenerationLLM reasoning → Reinforcement learning for reasoning
- DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon ReplayLLM reasoning → Reinforcement learning for reasoning
- HIPO: Instruction Hierarchy via Constrained Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp GenerationDiffusion models → Diffusion and flow policies for robotics
- NeuronSpark: A Spiking Neural Network Language Model with Selective State Space DynamicsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification SystemsDiffusion models → Image generation, text-to-image and editing
- Social Simulacra in the Wild: AI Agent Communities on MoltbookLLM agents and tool use → Social simulation and multi-agent debate
- SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code UnderstandingLLM agents and tool use → Software engineering coding agents
- PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional ConsistencyMultimodal LLMs / vision-language models → Medical vision-language models
- ASDA: Automated Skill Distillation and Adaptation for Financial ReasoningLLM reasoning → Reasoning for agents, planning and code
- VIGIL: Towards Edge-Extended Agentic AI for Enterprise IT SupportLLM agents and tool use → General LLM agent frameworks and benchmarks
- Efficient LLM Serving for Agentic Workflows: A Data Systems PerspectiveLLM agents and tool use → Software engineering coding agents +1
- Diffusion Models for Joint Audio-Video GenerationDiffusion models → Audio, speech and music
- Parallel In-context Learning for Large Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Towards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMsRetrieval-augmented generation → RAG for code
- The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving ModelsEnd-to-end autonomous driving → End-to-end system architecture
- Enhancing Linguistic Generalization of VLA: Fine-Tuning OpenVLA via Synthetic Instruction AugmentationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Collaborative Temporal Feature Generation via Critic-Free Reinforcement Learning for Cross-User Sensor-Based Activity RecognitionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Geometry-Aligned LLM Fine-Tuning for Sequential Narrow-Opening PlanningLLM reasoning → Spatial and embodied reasoning
- Interpretable Context Methodology: Folder Structure as Agentic ArchitectureLLM agents and tool use → Software engineering coding agents
- Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance
- A Multi-Model Approach to English-Bangla Sentiment Classification of Government Mobile Banking App Reviews
- Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction
- WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
- Form Without Function: Agent Social Behavior in the Moltbook Network
- Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning
- Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum
- Neural networks for Text-to-Speech evaluation
- A Representation-Level Assessment of Bias Mitigation in Foundation Models
- Uncertainty Estimation for the Open-Set Text Classification systems
- EMA Is Not All You Need: Mapping the Boundary Between Structure and Content in Recurrent Context
- Blending Human and LLM Expertise to Detect Hallucinations and Omissions in Mental Health Chatbot Responses
- When GPUs Fail Quietly: Observability-Aware Early Warning Beyond Numeric Telemetry
- Byzantine-Robust and Communication-Efficient Distributed Training: Compressive and Cyclic Gradient Coding
- On the Carbon Footprint of Economic Research in the Age of Generative AI
- The Cognitive Divergence: AI Context Windows, Human Attention Decline, and the Delegation Feedback Loop
- Deep Learning Multi-Horizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images
- EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection
- Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
- Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
- Latent Semantic Manifolds in Large Language Models
- Scaling Attention via Feature Sparsity
- Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
- Mix-and-Match Pruning: Globally Guided Layer-Wise Sparsification of DNNs
- Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
- Me, Myself, and π : Evaluating and Explaining LLM Introspection
- Solomonoff induction
- Efficient AI-Driven Multi-Section Whole Slide Image Analysis for Biochemical Recurrence Prediction in Prostate Cancer
- Target Concept Tuning Improves Extreme Weather Forecasting
- A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
- Prompt-tuning with Attribute Guidance for Low-resource Entity Matching
- An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
- Auditing the Auditors: Does Community-based Moderation Get It Right?
- NanoZK: Privacy-Preserving Verifiable Inference for Large Language Models via Layerwise Zero-Knowledge Proofs
- SA-CycleGAN-2.5D: Self-Attention CycleGAN with Tri-Planar Context for Multi-Site MRI Harmonization
- Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
- Adaptive Contracts for Cost-Effective AI Delegation
- A scalable neural bundle map for multiphysics prediction in lithium-ion battery across varying configurations
- SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization
- OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
- Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
- Self-Conditioned Denoising for Atomistic Representation Learning
- Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
- Visual Product Search Benchmark
- Patient4D: Temporally Consistent Patient Body Mesh Recovery from Monocular Operating Room Video
- Domain-informed explainable boosting machines for trustworthy lateral spread predictions
- Noise-Response Calibration: A Causal Intervention Protocol for LLM-Judges
- Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs
- Beyond OAuth: Task-Scoped Authorization for AI Agents via Natural Language Slices
- SLAM Adversarial Lab: An Extensible Framework for Visual SLAM Robustness Evaluation under Adverse Conditions
- GazeOnce360: Fisheye-Based 360deg Multi-Person Gaze Estimation with Global-Local Feature Fusion
- Self-Regularized Learning Methods
- BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
- A Lensless Polarization Camera
- Shallow Representation of Option Implied Information
- Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
- Multilingual Reference Need Assessment System for Wikipedia
- REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
- Contextual Preference Distribution Learning
- SMAL-pets: SMAL Based Avatars of Pets from Single Image
- Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
- Security Assessment and Mitigation Strategies for Large Language Models: A Comprehensive Defensive Framework
- Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching
- Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
- SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
- An End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat Interpretation
- Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments
- Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction
- Ensemble Self-Training for Unsupervised Machine Translation
- PRISM: Demystifying Retention and Interaction in Mid-Training
- Edge-Efficient Two-Stream Multimodal Architecture for Non-Intrusive Bathroom Fall Detection
- TrackDeform3D: Markerless and Autonomous 3D Keypoint Tracking and Dataset Collection for Deformable Objects
- Evaluating Ill-Defined Tasks in Large Language Models
- Transformers are Bayesian Networks
- Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
- DesertFormer: Transformer-Based Semantic Segmentation for Off-Road Desert Terrain Classification in Autonomous Navigation Systems
- Early Quantization Shrinks Codebook: A Simple Fix for Diversity-Preserving Tokenization
- SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
- When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models
- Shared Representation Learning for Reference-Guided Targeted Sound Detection
- Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
- Transformers Can Learn Rules They've Never Seen: Proof of Computation Beyond Interpolation
- Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting
- Formal verification of tree-based machine learning models for lateral spreading
- Interpretable AI-Assisted Early Reliability Prediction for a Two-Parameter Parallel Root-Finding Scheme
- Implementation of tangent linear and adjoint models for neural networks based on a compiler library tool
- The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
- Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichment
- Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
- Over-the-air White-box Attack on the Wav2Vec Speech Recognition Neural Network
- MAND: Modality-Aware Novelty Detection for Open-World Egocentric Activity Recognition
- CineSRD: Leveraging Visual, Acoustic, and Linguistic Cues for Open-World Visual Media Speaker Diarization
- Behavior-Centric Extraction of Scenarios from Highway Traffic Data and their Domain-Knowledge-Guided Clustering using CVQ-VAE
- Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT
- Data-knowledge dual-driven intelligent framework for full-chain, experiment-efficient synthesis of 2D dendrites
- SegviGen: Repurposing 3D Generative Model for Part Segmentation
- MessyKitchens: Contact-rich object-level 3D scene reconstruction
- ManiTwin: Scaling Data-Generation-Ready Digital Object Dataset to 100K
- SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation
- SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models
- SOMA: Unifying Parametric Human Body Models
- Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
- Online Experiential Learning for Language Models
- Unifying Optimization and Dynamics to Parallelize Sequential Computation: A Guide to Parallel Newton Methods for Breaking Sequential Bottlenecks
- GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators
- Mediocrity is the key for LLM as a Judge Anchor Selection
- Dynamic Meta-Layer Aggregation for Byzantine-Robust Federated Learning
- M^3: Dense Matching Meets Multi-View Foundation Models for Monocular Gaussian Splatting SLAM
- Internalizing Agency from Reflective Experience
- What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers
- An assessment of data-centric methods for label noise identification in remote sensing data sets
- Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
- Real-Time Decoding of Movement Onset and Offset for Brain-Controlled Rehabilitation Exoskeleton
- SurgSigma: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence
- WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation
- Beyond Accuracy: Evaluating Forecasting Models by Multi-Echelon Inventory Cost
- ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation
- CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
- DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping
- RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
- High-Dimensional Gaussian Mean Estimation under Realizable Contamination
- InCoder-32B: Code Foundation Model for Industrial Scenarios
- Conservative Continuous-Time Treatment Optimization
- SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue
- SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
- Dual Stream Independence Decoupling for True Emotion Recognition under Masked Expressions
- TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
- SuCor: Susceptibility Distortion Correction via Parameter-Free and Self-Regularized Optimal Transport
- pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning
- A Practical Algorithm for Feature-Rich, Non-Stationary Bandit Problems
- Finding Common Ground in a Sea of Alternatives
- Probing Cultural Signals in Large Language Models through Author Profiling
- Data-driven forced response analysis with min-max representations of nonlinear restoring forces
- When the City Teaches the Car: Label-Free 3D Perception from Infrastructure
- Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
- MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
- Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
- GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
- Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
- Emotion-Aware Classroom Quality Assessment Leveraging IoT-Based Real-Time Student Monitoring
- Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models
- Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy
- High-dimensional estimation with missing data: Statistical and computational limits
- Search2Motion: Training-Free Object-Level Motion Control via Attention-Consensus Search
- Learning Lineage-guided Geodesics with Finsler Geometry
- Cost Trade-offs in Matrix Inversion Updates for Streaming Outlier Detection
- vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots
- CritiSense: Critical Digital Literacy and Resilience Against Misinformation
- x2-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space
- When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
- Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization
- Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
- LLMs learn scientific taste from institutional traces across the social sciences
- Efficient Brood Cell Detection in Layer Trap Nests for Bees and Wasps: Balancing Labeling Effort and Species Coverage
- Domain-Independent Dynamic Programming with Constraint Propagation
- BUSSARD: Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection
- When AI Navigates the Fog of War
- FlowComposer: Composable Flows for Compositional Zero-Shot Learning
- Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
- TCATSeg: A Tooth Center-Wise Attention Network for 3D Dental Model Semantic Segmentation
- ACPV-Net: All-Class Polygonal Vectorization for Seamless Vector Map Generation from Aerial Imagery
- Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech
- Tarab: A Multi-Dialect Corpus of Arabic Lyrics and Poetry
- Data-driven generalized perimeter control: Z"urich case study
- FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self-calibration for Cattle Mounting Pose Estimation
- On the Transfer of Collinearity to Computer Vision
- BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization
- HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes
- Trajectory-Optimized Time Reparameterization for Learning-Compatible Reduced-Order Modeling of Stiff Dynamical Systems
- Diverging Transformer Predictions for Human Sentence Processing: A Comprehensive Analysis of Agreement Attraction Effects
- Context Matters: Repository-Aware Security Analysis of the Agent Skill Ecosystem
- Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration
- Deep Tabular Representation Corrector
- Manifold-Matching Autoencoders
- Characterizing Delusional Spirals through Human-LLM Chat Logs
- Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range
- Understanding Cell Fate Decisions with Temporal Attention
- BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
- CompDiff enables fair and zero shot medical image generation across demographic intersections through compositional diffusion
- Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation
- SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation
- DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis
- How often do Answers Change? Estimating Recency Requirements in Question Answering
- Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty
- Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robots
- SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
- Exploring different approaches to customize language models for domain-specific text-to-code generation
- An Approximate Graph Elicits Detonation Lattice
- FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
- msData: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models
- ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation
- On the Emotion Understanding of Synthesized Speech
- DST-Net: A Dual-Stream Transformer with Illumination-Independent Feature Guidance and Multi-Scale Spatial Convolution for Low-Light Image Enhancement
- Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function
- Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
- DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning
- TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
- ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
- Unified Removal of Raindrops and Reflections: A New Benchmark and A Novel Pipeline
- DISCOVER: A Solver for Distributional Counterfactual Explanations
- VQKV: High-Fidelity and High-Ratio Cache Compression via Vector-Quantization
- From Natural Language to Executable Option Strategies via Large Language Models
- IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video
- EngGPT2: Sovereign, Efficient and Open Intelligence
- LenghuSky-8: An 8-Year All-Sky Cloud Dataset with Star-Aware Masks and Alt-Az Calibration for Segmentation and Nowcasting
- An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU
- Cross-modal learning for plankton recognition
- 3D Fourier-based Global Feature Extraction for Hyperspectral Image Classification
- Trained Persistent Memory for Frozen Encoder--Decoder LLMs: Six Architectural Methods
- Who Benchmarks the Benchmarks? A Case Study of LLM Evaluation in Icelandic
- Near-light Photometric Stereo with Symmetric Lights
- Fanar 2.0: Arabic Generative AI Stack
- Unpaired Cross-Domain Calibration of DMSP to VIIRS Nighttime Light Data Based on CUT Network
- Age Predictors Through the Lens of Generalization, Bias Mitigation, and Interpretability: Reflections on Causal Implications
- Prior-Informed Neural Network Initialization: A Spectral Approach for Function Parameterizing Architectures
- Semantic One-Dimensional Tokenizer for Image Reconstruction and Generation
- InViC: Intent-aware Visual Cues for Medical Visual Question Answering
- FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
- FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
- Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missions
- Toward Experimentation-as-a-Service in 5G/6G: The Plaza6G Prototype for AI-Assisted Trials
- PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development
- Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI
- Explainable machine learning workflows for radio astronomical data processing
- Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds
- Deep learning based intelligent IDS for Large-scale IoT networks
- PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection
- SpikeCLR: Contrastive Self-Supervised Learning for Few-Shot Event-Based Vision using Spiking Neural Networks
- An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis
- A Human-Centred Architecture for Large Language Models-Cognitive Assistants in Manufacturing within Quality Management Systems
- Learning to Predict, Discover, and Reason in High-Dimensional Event Sequences
- Omnilingual MT: Machine Translation for 1,600 Languages
- NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing
- Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection
- PyPhonPlan: Simulating phonetic planning with dynamic neural fields and task dynamics
- Attention-guided Evidence Grounding for Spoken Question Answering
- Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
- EvoTale: Continual Character Customization for Expanding Story Worlds
- Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
- Physics-integrated neural differentiable modeling for immersed boundary systems
- FG-SGL: Fine-Grained Semantic Guidance Learning via Motion Process Decomposition for Micro-Gesture Recognition
- Human/AI Collective Intelligence for Deliberative Democracy: A Human-Centred Design Approach
- Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus
- Point-to-Mask: From Arbitrary Point Annotations to Mask-Level Infrared Small Target Detection
- Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
- How to Utilize Complementary Vision-Text Information for 2D Structure Understanding
- More Rounds, More Noise: Why Multi-Turn Review Fails to Improve Cross-Context Verification
- RASLF: Representation-Aware State Space Model for Light Field Super-Resolution
- Exclusivity-Guided Mask Learning for Semi-Supervised Crowd Instance Segmentation and Counting
- Neural Pushforward Samplers for the Fokker-Planck Equation on Embedded Riemannian Manifolds
- PureCLIP-Depth: Prompt-Free and Decoder-Free Monocular Depth Estimation within CLIP Embedding Space
- ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
- Ground Reaction Inertial Poser: Physics-based Human Motion Capture from Sparse IMUs and Insole Pressure Sensors
- Generative AI for Quantum Circuits and Quantum Code: A Technical Review and Taxonomy
- Proactive Rejection and Grounded Execution: A Dual-Stage Intent Analysis Paradigm for Safe and Efficient AIoT Smart Homes
- A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education
- Robust Generative Audio Quality Assessment: Disentangling Quality from Spurious Correlations
- Online Semi-infinite Linear Programming: Efficient Algorithms via Function Approximation
- Are Large Language Models Truly Smarter Than Humans?
- S-VAM: Shortcut Video-Action Model by Self-Distilling Geometric and Semantic Foresight
- Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
- Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR
- MemX: A Local-First Long-Term Memory System for AI Assistants
- SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments
- Homogeneous and Heterogeneous Consistency progressive Re-ranking for Visible-Infrared Person Re-identification
- STARK: Spatio-Temporal Attention for Representation of Keypoints for Continuous Sign Language Recognition
- Segmentation-before-Staining Improves Structural Fidelity in Virtual IHC-to-Multiplex IF Translation
- AI-Generated Figures in Academic Publishing: Policies, Tools, and Practical Guidelines
- GATS: Gaussian Aware Temporal Scaling Transformer for Invariant 4D Spatio-Temporal Point Cloud Representation
- Deep Adaptive Model-Based Design of Experiments
- Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Prediction
- Parametric Social Identity Injection and Diversification in Public Opinion Simulation
- Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
- Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
- Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
- Answer Bubbles: Information Exposure in AI-Mediated Search
- SIA: A Synthesize-Inject-Align Framework for Knowledge-Grounded and Secure E-commerce Search LLMs with Industrial Deployment
- DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives
- SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era
- EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion
- Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
- Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
- Functorial Neural Architectures from Higher Inductive Types
- Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
- Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
- RepoReviewer: A Local-First Multi-Agent Architecture for Repository-Level Code Review
- Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
- NanoGS: Training-Free Gaussian Splat Simplification
- Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP
- OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder
- LICA: Layered Image Composition Annotations for Graphic Design Research
- CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering
- RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
- Interact3D: Compositional 3D Generation of Interactive Objects
- Structured prototype regularization for synthetic-to-real driving scene parsing
- A Depth-Aware Comparative Study of Euclidean and Hyperbolic Graph Neural Networks on Bitcoin Transaction Systems
- Volumetrically Consistent Implicit Atlas Learning via Neural Diffeomorphic Flow for Placenta MRI
- ClaimFlow: Tracing the Evolution of Scientific Claims in NLP
- SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
- Resource Consumption Threats in Large Language Models
- Attribution Upsampling should Redistribute, Not Interpolate
- Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints
- ViT-AdaLA: Adapting Vision Transformers with Linear Attention
- Safe Distributionally Robust Feature Selection under Covariate Shift
- Population Annealing as a Discrete-Time Schr"odinger Bridge
- A Context Alignment Pre-processor for Enhancing the Coherence of Human-LLM Dialog
- POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
- Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
- Power Analysis for Prediction-Powered Inference
- Residual Stream Duality in Modern Transformer Architectures
- 3D tomography of exchange phase in a Si/SiGe quantum dot device
- Speak, Segment, Track, Navigate: An Interactive System for Video-Guided Skull-Base Surgery