Papers
Mon 20 Apr 2026
525 papers
- AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network InfrastructureLLM agents and tool use → Agentic AI for wireless networks
- Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Retrieval Augmented Generation Framework for the Nepali Legal Domain Question AnsweringRetrieval-augmented generation → Legal and financial RAG
- Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student ReasoningLLM reasoning → Mathematical reasoning
- Leveraging Vision-Language Models to Detect Attention in Educational VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Reducing Credit Assignment Variance via Counterfactual Reasoning PathsLLM reasoning → Reinforcement learning for reasoning
- SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained DispatchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Putting HUMANS first: Efficient LAM Evaluation with Human Preference AlignmentLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language AgentsLLM agents and tool use → Tool learning and function calling
- From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems TestingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- Harmful Intent as a Geometrically Recoverable Feature of LLM Residual StreamsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Less Is More: Cognitive Load and the Single-Prompt Ceiling in LLM Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Prioritizing the Best: Incentivizing Reliable Multimodal Reasoning by Rewarding Beyond Answer CorrectnessLLM reasoning → Multimodal reasoning
- How Adversarial Environments Mislead Agentic AI?LLM agents and tool use → Agent threats, guardrails and governance
- From Natural Language to Executable Narsese: A Neuro-Symbolic Benchmark and Pipeline for Reasoning with NARSLLM reasoning → Reasoning benchmarks and evaluation
- Hierarchically Robust Zero-shot Vision-language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Human-Guided Harm Recovery for Computer Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Domain Learning with Global Expert MappingMixture-of-experts → Vision mixture-of-experts
- DUALVISION: RGB-Infrared Multimodal Large Language Models for Robust Visual ReasoningLLM reasoning → Multimodal reasoning +1
- AI scientists produce results without reasoning scientificallyLLM reasoning → Knowledge- and tool-augmented reasoning
- Geometric Decoupling: Diagnosing the Structural Instability of LatentDiffusion models → Diffusion foundations and sampling
- LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- HELM: Harness-Enhanced Long-horizon Memory for Vision-Language-Action ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward SystemLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUsMixture-of-experts → Efficient MoE training and inference systems
- Mango: Multi-Agent Web Navigation via Global-View OptimizationLLM agents and tool use → Web, search, and research agents
- An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language ModelsLLM safety and security → Jailbreaking
- Towards Understanding the Robustness of Sparse AutoencodersLLM safety and security → Jailbreaking +1
- Discrete Tilt MatchingDiffusion models → Discrete and text diffusion
- Remask, Don't Replace: Token-to-Mask Refinement in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing SegmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Towards Optimal Agentic Architectures for Offensive Security TasksLLM agents and tool use → Agent threats, guardrails and governance
- Characterizing AlphaEarth Embedding Geometry for Agentic Environmental ReasoningLLM agents and tool use → Multimodal and embodied agents
- Curiosity-Critic: Cumulative Prediction Error Improvement as a Tractable Intrinsic Reward for World Model TrainingWorld models → Latent dynamics models and model-based RL +1
- Beyond Indistinguishability: Measuring Extraction Risk in LLM APIsLLM safety and security → Membership inference attacks
- Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Owner-Harm: A Missing Threat Model for AI Agent SafetyLLM agents and tool use → Agent threats, guardrails and governance
- From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic ComputersLLM agents and tool use → Agent threats, guardrails and governance
- Position: No Retroactive Cure for Infringement during TrainingLLM safety and security → Machine unlearning
- MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and RetrievalLLM reasoning → Mathematical reasoning +1
- Sessa: Selective State Space AttentionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Bounded Ratio Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Agentic Forecasting using Sequential Bayesian Updating of Linguistic BeliefsLLM agents and tool use → Financial trading and forecasting agents
- When Can LLMs Learn to Reason with Weak Supervision?LLM reasoning → Reinforcement learning for reasoning
- Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache SteeringLLM reasoning → Test-time compute and efficient thinking +1
- MultiWorld: Scalable Multi-Agent Multi-View Video World ModelsWorld models → Video-generation world models and simulators
- MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
- OGER: A Robust Offline-Guided Exploration Reward for Hybrid Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid ComputingEfficient LLM inference and serving → KV cache optimization
- LLM Safety From Within: Detecting Harmful Content with Internal RepresentationsLLM safety and security → Safety alignment, refusal and guardrails
- UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion ModelsLLM reasoning → Reinforcement learning for reasoning +1
- S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Behind Harmful Compliance: Behavioral and Mechanistic Divergence Across LLM JailbreaksLLM safety and security → Safety alignment, refusal and guardrails
- MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- QRAFTI: An Agentic Framework for Empirical Research in Quantitative FinanceLLM agents and tool use → Financial trading and forecasting agents
- Too Correct to Learn: Reinforcement Learning on Saturated Reasoning DataLLM reasoning → Reinforcement learning for reasoning
- Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical ConstraintsLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language ExplanationWorld models → World models for autonomous driving +1
- XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied EnvironmentsVision-language-action models → 3D and spatial-aware VLA
- WorldDB: A Vector Graph-of-Worlds Memory Engine with Ontology-Aware Write-Time ReconciliationLLM agents and tool use → Agent memory systems
- Train Separately, Merge Together: Modular Post-Training with Mixture-of-ExpertsMixture-of-experts → MoE large language models
- NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order OptimizationDiffusion models → Discrete and text diffusion +1
- Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for SimulationEnd-to-end autonomous driving → Generative simulation for driving
- Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step SamplingLLM reasoning → Test-time compute and efficient thinking
- ESsEN: Training Compact Discriminative Vision-Language Transformers in a Low-Resource SettingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- CAPO: Critic-Guided Action-Aligned Policy Optimization for Advancing LLM Agent CapabilitiesLLM agents and tool use → Reinforcement learning for LLM agents
- River-LLM: Large Language Model Seamless Exit Based on KV ShareEfficient LLM inference and serving → Early exit and edge inference
- OpenGame: Open Agentic Coding for GamesLLM agents and tool use → Software engineering coding agents
- One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly DetectionDiffusion models → Flow matching, time series and science
- Randomly Initialized Networks Can Learn from Peer-to-Peer ConsensusKnowledge distillation → General knowledge distillation methods
- Training and Agentic Inference Strategies for LLM-based Manim Animation GenerationLLM reasoning → Multimodal reasoning +1
- ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ComPASS: Towards Personalized Agentic Social Support via Tool-Augmented CompanionshipLLM agents and tool use → Social simulation and multi-agent debate
- HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational AgentsLLM agents and tool use → Agent memory systems
- AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video GenerationDiffusion models → Video generation
- Multilingual Training and Evaluation Resources for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set PredictionDiffusion models → Discrete and text diffusion
- Reliability of AI Bots Footprints in GitHub Actions CI/CD WorkflowsLLM agents and tool use → Software engineering coding agents
- PARM: Pipeline-Adapted Reward ModelLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- EVE: Verifiable Self-Evolution of MLLMs via Executable Visual TransformationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reasoning Models Know What's Important, and Encode It in Their ActivationsLLM reasoning → Reasoning benchmarks and evaluation
- CAARL: In-Context Learning for Interpretable Co-Evolving Time Series ForecastingLLM reasoning → Time series reasoning
- Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Geometry-Guided 3D Visual Token Pruning for Video-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Domain-Specialized Object Detection via Model-Level Mixtures of ExpertsMixture-of-experts → Vision mixture-of-experts
- Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection DetectionLLM safety and security → Prompt injection and agent security
- AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the WinnerLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search AgentsLLM reasoning → Reinforcement learning for reasoning
- Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation StrategiesLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Aether: Network Validation Using Agentic AI and Digital TwinLLM agents and tool use → Agentic AI for wireless networks
- AgenTEE: Confidential LLM Agent Execution on Edge DevicesLLM agents and tool use → Agent threats, guardrails and governance
- Towards an Agentic LLM-based Approach to Requirement Formalization from Unstructured SpecificationsLLM agents and tool use → Software engineering coding agents
All 525
- WebCompass: Towards Multimodal Web Coding Evaluation for Code Language ModelsLLM agents and tool use → Software engineering coding agents
- Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio InputsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing ImageryDiffusion models → Inverse problems and image restoration
- Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language ModelsLLM reasoning → Audio-language model reasoning
- Committed SAE-Feature Traces for Audited-Session Substitution Detection in Hosted LLMsMechanistic interpretability → Steering and probing for LLM safety
- QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM EditingEfficient LLM inference and serving → Speculative decoding
- MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-JudgeMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?Deep reinforcement learning methods → RL theory and sample complexity
- Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?Multimodal LLMs / vision-language models → Medical vision-language models
- Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled FuturesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge ExplorationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LoRaQ: Optimized Low Rank Approximation for 4-bit QuantizationDiffusion models → Diffusion foundations and sampling
- Retrieval-Augmented Multimodal Model for Fake News DetectionRetrieval-augmented generation → Multimodal RAG
- Test-Time Perturbation Learning with Delayed Feedback for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context PrefillingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural ContextsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Class-specific diffusion models improve military object detection in a low-data domainDiffusion models → Image generation, text-to-image and editing
- Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix WeightingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Architectural Design Decisions in AI Agent HarnessesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Human Motion World Models via Executable Behaviour RepresentationsWorld models → Embodied and robot world models
- Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data ScarcityWorld models → Medical and surgical world models
- The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style DataLLM reasoning → Reasoning benchmarks and evaluation
- JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in HebrewLLM reasoning → Reasoning for agents, planning and code
- First, Do No Harm (With LLMs): Mitigating Racial Bias via Agentic WorkflowsLLM agents and tool use → Medical and scientific domain agents
- SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language TranslationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel CorporaSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary EnvironmentsRetrieval-augmented generation → Agentic RAG, agents and memory
- Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Neural Garbage Collection: Learning to Forget while Learning to ReasonLLM reasoning → Test-time compute and efficient thinking +1
- Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain CurriculumLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mitigating Multimodal Hallucination via Phase-wise Self-rewardMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +2
- Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level RewardsLLM reasoning → Reinforcement learning for reasoning +1
- CADMAS-CTX: Contextual Capability Calibration for Multi-Agent DelegationLLM agents and tool use → Agent skill learning and evolution
- RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary ProgramsRetrieval-augmented generation → Privacy and security of RAG
- From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ContraPrompt: Contrastive Prompt Optimization via Dyadic Reasoning Trace AnalysisLLM reasoning → Prompting and chain-of-thought reasoning
- LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research AgentLLM agents and tool use → Web, search, and research agents
- HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics AlignmentLLM reasoning → Reinforcement learning for reasoning
- Fisher Decorator: Refining Flow Policy via a Local Transport MapDiffusion models → Diffusion and flow policies for robotics +2
- OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-ThoughtLLM reasoning → Reinforcement learning for reasoning
- Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation PipelinesDeep reinforcement learning methods → RL theory and sample complexity
- LoReC: Rethinking Large Language Models for Graph Data AnalysisLLM reasoning → Knowledge- and tool-augmented reasoning
- Can Explicit Physical Feasibility Benefit VLA Learning? An Empirical StudyVision-language-action models → Reinforcement learning and post-training +1
- LEPO: Latent Reasoning Policy Optimization for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Latent Preference Modeling for Multi-Session Personalized Tool CallingLLM agents and tool use → Agent memory systems
- SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- ST-π: Structured SpatioTemporal VLA for Robotic ManipulationVision-language-action models → 3D and spatial-aware VLA
- OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- Design and Evaluation of a Culturally Adapted Multimodal Virtual Agent for PTSD ScreeningLLM agents and tool use → Medical and scientific domain agents
- GraSP: Graph-Structured Skill Compositions for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Latent Abstraction for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEsLLM agents and tool use → Agent threats, guardrails and governance
- On the Reliability of Computer Use AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via LandingDiffusion models → Diffusion foundations and sampling
- Polysemantic Experts, Monosemantic Paths: Routing as Control in MoEsMixture-of-experts → Expert routing strategies
- WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web AgentLLM reasoning → Reasoning for agents, planning and code +1
- PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State TrackingLLM reasoning → Reasoning benchmarks and evaluation
- Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. ScreenshotsLLM agents and tool use → GUI and mobile agents
- Re2MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware RefinementLLM reasoning → Spatial and embodied reasoning
- ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-TuningLLM reasoning → Spatial and embodied reasoning +1
- Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 QuantizationEfficient LLM inference and serving → KV cache quantization
- AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action ModelsVision-language-action models → Tactile, force-aware and humanoid VLA
- Forget What Matters, Keep the Rest: Selective Unlearning of Informative TokensLLM safety and security → Machine unlearning
- Prompt Optimization Enables Stable Algorithmic Collusion in LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIFLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic BenchmarksMechanistic interpretability → Knowledge and representations inside LLMs
- Efficient Federated RLHF via Zeroth-Order Policy OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and ExecutionLLM agents and tool use → Software engineering coding agents
- Input-Side Variance Suppression under Non-Normal Transient Amplification in Continuous-Control Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language ModelLLM agents and tool use → Reinforcement learning for LLM agents
- Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Co-evolving Agent Architectures and Interpretable Reasoning for Automated OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RLVision-language-action models → Reinforcement learning and post-training +1
- WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM InferenceEfficient LLM inference and serving → Speculative decoding
- SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM AgentsLLM agents and tool use → Software engineering coding agents
- Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-PlayLLM reasoning → Reasoning for agents, planning and code +1
- MoE-nD: Per-Layer Mixture-of-Experts Routing for Multi-Axis KV Cache CompressionMixture-of-experts → MoE large language models +1
- SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Semantic Entanglement in Vector-Based Retrieval: A Formal Framework and Context-Conditioned Disentanglement Pipeline for Agentic RAG SystemsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Grokking of Diffusion Models: Case Study on Modular AdditionDiffusion models → Diffusion foundations and sampling
- Towards a New Grammar of Reasoning for Artificial Legal Intelligence and the Mecelle as Its Semantic Protocol
- Topological Void Analysis A Mathematical Framework for Systematic Technical Innovation Discovery in Knowledge Spaces
- Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps
- Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems
- MA-DLE: Speech-based Automatic Depression Level Estimation via Memory Augmentation
- PoQ-Judge: A Multi-Architecture Evaluation Framework for Cost-Aware Proof-of-Quality in Decentralized LLM Inference
- CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks
- BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models
- Post-training is (Massive) Supervised Learning
- GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
- Implicit Causal Graph Construction in Text via Chain Discovery
- ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding
- Informing AI Policy Assessment using Large-Scale Simulation of Interventions
- Edge AI Deployment Beyond Models: A BSP-Aware Systems Framework for Industrial Embedded Platforms
- Improving the Completeness and Comparability of Segment Disclosures: A Large Language Model Approach
- Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting
- Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
- OAMVOS:2nd Report for 5th PVUW MOSE Track
- AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method
- ParkingScenes: A Structured Dataset for End-to-End Autonomous Parking in Simulation Scenes
- WebSerial Vision Training for Microcontrollers: A Browser-Based Companion to On-Device CNN Training
- Discriminative-Generative Synergy for Occlusion Robust 3D Human Mesh Recovery
- Ternary Memristive Logic: Hardware for Reasoning Realized via Domain Algebra
- Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach
- TactileEval: A Step Towards Automated Fine-Grained Evaluation and Editing of Tactile Graphics
- More Is Different: Toward a Theory of Emergence in AI-Native Software Ecosystems
- Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
- SolidCoder: Bridging the Mental-Reality Gap in LLM Code Generation through Concrete Execution
- Rabies diagnosis in low-data settings: A comparative study on the impact of data augmentation and transfer learning
- Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features
- Proposing Topic Models and Evaluation Frameworks for Analyzing Associations with External Outcomes: An Application to Leadership Analysis Using Large-Scale Corporate Review Data
- Benchmarking PNW Model for MedMNIST to 100% Accuracy
- MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
- Collaborative Contextual Bayesian Optimization
- Gradient-Based Program Synthesis with Neurally Interpreted Languages
- Regulating Artificial Intimacy: From Locks and Blocks to Relational Accountability
- AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics
- Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph
- Formally Verified Patent Analysis via Dependent Type Theory: Machine-Checkable Certificates from a Hybrid AI + Lean 4 Pipeline
- A Proxy Consistency Loss for Grounded Fusion of Earth Observation and Location Encoders
- Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs
- LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification
- Subgraph Concept Networks: Concept Levels in Graph Classification
- HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images
- ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
- Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning
- Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents
- Task Switching Without Forgetting via Proximal Decoupling
- DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification
- The Triadic Loop: A Framework for Negotiating Alignment in AI Co-hosted Livestreaming
- Trainability Beyond Linearity in Variational Quantum Objectives
- One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
- Quantum inspired qubit qutrit neural networks for real time financial forecasting
- Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation
- Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring
- Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model
- The High Explosives and Affected Targets (HEAT) Dataset
- OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
- Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
- Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning
- Rethinking Dataset Distillation: Hard Truths about Soft Labels
- A PPA-Driven 3D-IC Partitioning Selection Framework with Surrogate Models
- Preserving Clusters in Error-Bounded Lossy Compression of Scientific Particle Data
- Optimal Exploration of New Products under Assortment Decisions
- CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
- EfficientPENet: Real-Time Depth Completion from Sparse LiDAR via Lightweight Multi-Modal Fusion
- Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
- CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans
- Streaming Structured Inference with Flash-SemiCRF
- Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
- Model-Agnostic Meta Learning for Class Imbalance Adaptation
- Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation
- REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
- Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling
- Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
- URoPE: Universal Relative Position Embedding across Geometric Spaces
- DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation
- Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras
- Autonomous Skeletal Landmark Localization towards Agentic C-Arm Control
- Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
- The Cost of Relaxation: Evaluating the Error in Convex Neural Network Verification
- Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss
- Colour Extraction Pipeline for Odonates using Computer Vision
- Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations
- Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP
- TrEEStealer: Stealing Decision Trees via Enclave Side Channels
- Align then Refine: Text-Guided 3D Prostate Lesion Segmentation
- Probing for Reading Times
- Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks
- Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM
- DanceCrafter: Fine-Grained Text-Driven Controllable Dance Generation via Choreographic Syntax
- MUA: Mobile Ultra-detailed Animatable Avatars
- ReCap: Lightweight Referential Grounding for Coherent Story Visualization
- T-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability
- Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
- A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
- Revisiting Active Sequential Prediction-Powered Mean Estimation
- Benchmarking System Dynamics AI Assistants: Cloud Versus Local LLMs on CLD Extraction and Discussion
- Dual Alignment Between Language Model Layers and Human Sentence Processing
- AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation
- ConforNets: Latents-Based Conformational Control in OpenFold3
- SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergy
- GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
- A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work
- Advancing Vision Transformer with Enhanced Spatial Priors
- Physics-Informed Neural Networks for Biological 2D+t Reaction-Diffusion Systems
- FUSE: Ensembling Verifiers with Zero Labeled Data
- Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
- ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
- Duality for the Adversarial Total Variation
- Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations
- Symbolic Synthesis for LTLf+ Obligations
- IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
- Document-as-Image Representations Fall Short for Scientific Retrieval
- Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks
- Bayesian experimental design: grouped geometric pooled posterior via ensemble Kalman methods
- Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
- Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD
- LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation
- Safe Control using Learned Safety Filters and Adaptive Conformal Inference
- Physics-Informed Neural Networks: A Didactic Derivation of the Complete Training Cycle
- Multi-Scale Reversible Chaos Game Representation: A Unified Framework for Sequence Classification
- SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection
- A Generalized Synthetic Control Method for Baseline Estimation in Demand Response Services
- Partner-aware Peptide-Protein Interaction Prediction and Target-conditioned Peptide Generation
- Using large language models for embodied planning introduces systematic safety risks
- Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective
- Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions
- Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario
- AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning
- Conformal Robust Set Estimation
- Scalable Physics-Informed Neural Differential Equations and Data-Driven Algorithms for HVAC Systems
- Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models
- BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and Resources
- Spectral bandits for smooth graph functions
- MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline
- Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms
- Six Llamas: Comparative Religious Ethics Through LoRA-Adapted Language Models
- Adaptive Kernel Selection for Kernelized Diffusion Maps
- Bridge-Centered Metapath Classification Using R-GCN-VGAE for Disaster-Resilient Maintenance Decisions
- AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
- Understanding the Prompt Sensitivity
- Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
- The implicated scientist: on the role of AI researchers in the development of weapons systems
- Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning
- Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation
- IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters
- Dissecting AI Trading: Behavioral Finance and Market Bubbles
- Label-Efficient Bilateral Attention for Parkinson's Disease Screening from Wrist-Worn IMU Signals
- DSA-CycleGAN: A Domain Shift Aware CycleGAN for Robust Multi-Stain Glomeruli Segmentation
- EAST: Early Action Prediction Sampling Strategy with Token Masking
- LBFTI: Layer-Based Facial Template Inversion for Identity-Preserving Fine-Grained Face Reconstruction
- PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
- Tight Auditing of Differential Privacy in MST and AIM
- Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
- Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation
- FregeLogic at SemEval 2026 Task 11: A Hybrid Neuro-Symbolic Architecture for Content-Robust Syllogistic Validity Prediction
- OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation
- Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
- Predictive Modelling of Natural Medicinal Compounds for Alzheimer disease Using Machine Learning and Cheminformatics
- Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
- Scale-free adaptive planning for deterministic dynamics & discounted rewards
- On the Importance and Evaluation of Narrativity in Natural Language AI Explanations
- Symmetry Guarantees Statistic Recovery in Variational Inference
- Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support
- Exploring Concreteness Through a Figurative Lens
- An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal
- Relative State Estimation using Event-Based Propeller Sensing
- Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization
- Dissipative Latent Residual Physics-Informed Neural Networks for Modeling and Identification of Electromechanical Systems
- Block-encodings as programming abstractions: The Eclipse Qrisp BlockEncoding Interface
- LiquidTAD: Efficient Temporal Action Detection via Parallel Liquid-Inspired Temporal Relaxation
- Incremental learning for audio classification with Hebbian Deep Neural Networks
- MARCO: Navigating the Unseen Space of Semantic Correspondence
- Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation
- Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
- DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting
- Long-Text-to-Image Generation via Compositional Prompt Decomposition
- DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
- LeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQL
- Style-Based Neural Architectures for Real-Time Weather Classification
- Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning
- Where Do Self-Supervised Speech Models Become Unfair?
- Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
- Horospherical Depth and Busemann Median on Hadamard Manifolds
- Semantic-based Distributed Learning for Diverse and Discriminative Representations
- FSEVAL: Feature Selection Evaluation Toolbox and Dashboard
- Model in Distress: Sentiment Analysis on French Synthetic Social Media
- Is SAM3 ready for pathology segmentation?
- Instruction-as-State: Environment-Guided and State-Conditioned Semantic Understanding for Embodied Navigation
- EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
- Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation
- TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics
- Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes
- A Control Architecture for Training-Free Memory Use
- A Comparative Evaluation of Geometric Accuracy in NeRF and Gaussian Splatting
- Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages
- Centre manifold theorem for maps along manifolds of fixed points
- Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models
- Friction-Augmented Drifting Models for Resource-Efficient Domain Translation
- Scalable Neighborhood-Based Multi-Agent Actor-Critic
- Towards Multi-View Sign Language Understanding: A Benchmark Dataset and Baseline
- STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs
- Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation
- Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
- Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models
- FreezeEmpath: Efficient Training for Empathetic Spoken Chatbots with Frozen LLMs
- State Transfer Reveals Reuse in Controlled Routing
- mlr3torch: A Deep Learning Framework in R based on mlr3 and torch
- AI-based Waste Mapping for Addressing Climate-Exacerbated Flood Risk
- Attention-ResUNet for Automated Fetal Head Segmentation
- Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations
- Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
- Distributional Off-Policy Evaluation with Deep Quantile Process Regression
- AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization
- Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
- An `Inverse' Experimental Framework to Estimate Market Efficiency
- Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition
- Chatting about Conditional Trajectory Prediction
- TLoRA: Task-aware Low Rank Adaptation of Large Language Models
- Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents
- FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
- Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion
- NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR
- The Collaboration Gap in Human-AI Work
- DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding
- Decision-Aware Attention Propagation for Vision Transformer Explainability
- Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference
- Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles
- Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation
- Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarisation
- Predicting LLM Compression Degradation from Spectral Statistics
- Implicit neural representations as a coordinate-based framework for continuous environmental field reconstruction from sparse ecological observations
- Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
- Modeling Human Perspectives with Socio-Demographic Representations
- Towards Real-Time ECG and EMG Modeling on μNPUs
- Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
- Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design
- ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
- INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
- GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting
- HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
- Variational Autoencoder Domain Adaptation for Cross-System Generalization in ML-Based SOP Monitoring
- CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement
- How Creative Are Large Language Models in Generating Molecules?
- Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering
- Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment
- Multi-View Hierarchical Graph Neural Network for Sketch-Based 3D Shape Retrieval
- Neural Shape Operator Surrogates -- Expression Rate Bounds
- SELF-EMO: Emotional Self-Evolution from Recognition to Consistent Expression
- Trustworthy Endoscopic Super-Resolution
- Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection
- Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design
- Latent Fourier Transform
- Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
- ltzGLUE: Luxembourgish General Language Understanding Evaluation
- Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations
- Identifying Ethical Biases in Action Recognition Models
- E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes
- From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives?
- A Sugeno Integral View of Binarized Neural Network Inference
- TPS-CalcBench: A Benchmark and Diagnostic Evaluation Framework for LLM Analytical Calculation Competence in Hypersonic Thermal Protection System Engineering
- MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene
- DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
- The Umwelt Representation Hypothesis: Rethinking Universality
- Chatting about Upper-Body Expressive Human Pose and Shape Estimation
- Federated Rule Ensemble Method in Medical Data
- Complex normalizing flows can almost be information K"ahler-Ricci flows
- ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection
- ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering
- A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents
- How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers
- Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?
- Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding
- Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
- Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors
- Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
- MEDN: Motion-Emotion Feature Decoupling Network for Micro-Expression Recognition
- ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
- Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions
- Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
- Exploring Boundary-Aware Spatial-Frequency Fusion for Camouflaged Object Detection
- Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models
- Sharpening Lightweight Models for Generalized Polyp Segmentation: A Boundary Guided Distillation from Foundation Models
- Periodic Steady-State Control of a Handkerchief-Spinning Task Using a Parallel Anti-Parallelogram Tendon-driven Wrist
- M100: An Orchestrated Dataflow Architecture Powering General AI Computing
- On the Emergence of Syntax by Means of Local Interaction
- PlankFormer: Robust Plankton Instance Segmentation via MAE-Pretrained Vision Transformers and Pseudo Community Image Generation
- UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglement
- AI Approach for MRI-only Full-Spine Vertebral Segmentation and 3D Reconstruction in Paediatric Scoliosis
- Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
- QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks
- PCM-NeRF: Probabilistic Camera Modeling for Neural Radiance Fields under Pose Uncertainty
- How Non-Linguistic Is the Indus Sign System? A Synthetic-Baseline Scorecard
- Local-First Intelligence via Proactive SLM Collaborating with Feedback-Providing LLM
- A novel LSTM music generator based on the fractional time-frequency feature extraction
- GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning
- AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
- Navigating the Conceptual Multiverse
- Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective
- Enabling AI ASICs for Zero Knowledge Proof
- Party Autonomy in Determining the Law Applicable to Non-contractual Obligations concerning Cross-Border Data Transfers
- Perturbation Sensitivity of Maximum-Likelihood Pairwise Ranking in Computational Decision Systems
- Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition
- Optimally Bridging Semantics and Data: Generative Semantic Communication via Schr"odinger Bridge
- View-Consistent 3D Scene Editing via Dual-Path Structural Correspondense and Semantic Continuity
- Weakly-Supervised Referring Video Object Segmentation through Text Supervision
- Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
- TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications
- Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement
- SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks
- LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
- A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development
- Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA
- Evolutionary Negative Module Pruning for Better LoRA Merging
- HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
- Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos
- Source-Free Domain Adaptation with Vision-Language Prior
- IncreFA: Breaking the Static Wall of Generative Model Attribution
- Score-Based Matching with Target Guidance for Cryo-EM Denoising
- MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models
- Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution
- RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
- GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion
- FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching
- Do LLMs Use Cultural Knowledge Without Being Told? A Multilingual Evaluation of Implicit Pragmatic Adaptation
- Concurrent Criterion Validation of a Validity Screen for LLM Confidence Signals via Selective Prediction
- Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics
- Screen Before You Interpret: A Portable Validity Protocol for Benchmark-Based LLM Confidence Signals
- Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
- Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels
- DeInfer: Efficient Parallel Inferencing for Decomposed Large Language Models
- Before You Interpret the Profile: Validity Scaling for LLM Metacognitive Self-Report
- The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability
- Improving reproducibility by controlling random seed stability in machine learning based estimation via bagging
- COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
- Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
- Dual-stream Spatio-Temporal GCN-Transformer Network for 3D Human Pose Estimation
- Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts