Papers
Thu 13 Aug 2026
415 papers
- Coding Agents are Strong Prompt OptimizersLLM agents and tool use → Software engineering coding agents
- PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Machine Unlearning for Speech Question Answering in Large Audio-Language ModelsLLM safety and security → Machine unlearning
- Multi-dimensional Bias in Modeling Multi-dimensional Preferences: Evaluating the Ability of Synthetic Agents to Replace Human Participants in Conjoint ExperimentsLLM agents and tool use → Social simulation and multi-agent debate +1
- Measuring Collective Semantic Change in Populations of Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision TraceabilityLLM reasoning → Reasoning for agents, planning and code
- Retrieval-grounded robot program generation and simulation-based correction via Model Context ProtocolLLM agents and tool use → Multimodal and embodied agents
- PolyComp: A Polycube-based Benchmark for Compositional 3D Spatial Reasoning in Multimodal ModelsLLM reasoning → Spatial and embodied reasoning
- When Lexical Change Misleads: Rethinking Dynamic Topic Model Evaluation with Traditional and LLM-Based MetricsLLM reasoning → Reasoning benchmarks and evaluation
- VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRLLLM reasoning → Reasoning for agents, planning and code
- ChartProbe: A Diagnostic Study on Visual Reasoning through Perception, Grounding, and Simple ReasoningLLM reasoning → Multimodal reasoning +1
- Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking ModelsLLM reasoning → Test-time compute and efficient thinking
- Limitations of Synthetic Data Generation in Specialized Data-Scarce DomainsDiffusion models → Image generation, text-to-image and editing
- Graph-MambaNav: Spatial-Temporal Graph Mamba Leveraging Object-Relation Knowledge for Object-Goal NavigationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum MaterialsRetrieval-augmented generation → Agentic RAG, agents and memory
- CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QARetrieval-augmented generation → Legal and financial RAG
- GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual SettingsLLM reasoning → Reinforcement learning for reasoning
- hint2: Hierarchical World Models for Inference-Time Temporal Logic GuidanceWorld models → Embodied and robot world models
- Multiphase-Diff: Diffusion-Based Generative Modeling for High-Contrast Multiphase Physical Systems with Sharp InterfacesDiffusion models → Flow matching, time series and science
- Second Thought: Reasoning in Parallel as LLM Agents Act and ObserveLLM reasoning → Reasoning for agents, planning and code +1
- Ontology-Grounded Project Memory for Coding AgentsLLM agents and tool use → Software engineering coding agents
- AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic DesignLLM agents and tool use → Multimodal and embodied agents
- PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon ObjectivesWorld models → Video-generation world models and simulators
- Alaya-EVOKE: From Linear-Scaling Supervision to Endless WorldWorld models → Video-generation world models and simulators
- DARTree: Speculative Diffusion Decoding with Autoregressive Draft TreesEfficient LLM inference and serving → Speculative decoding
- Intern-S2-Preview: Scientific Agentic Foundation ModelLLM agents and tool use → Web, search, and research agents
- OpScale: Operator-level Provisioning and Autoscaling for LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)World models → Video-generation world models and simulators
- DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic ManipulationWorld models → Embodied and robot world models
- MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept UnlearningLLM safety and security → Vision-language and text-to-image safety
- MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and CoordinationLLM reasoning → Clinical and biomedical applications +1
- Decoding Task Progress from VLA RepresentationsVision-language-action models → Generalist VLA models and benchmarks
- MLLM-Routed Heterogeneous Ensembles for Robust Cross-Dataset Image ClassificationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame InterpolationDiffusion models → Video generation
- A Unifying Perspective on Causal World Models: From Observations to Representations to StructureWorld models → World models for language agents
- UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Edit2TikZ: A Comprehensive and Challenging Benchmark for Scientific Figure Editing with TikZMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World ModelsWorld models → Embodied and robot world models
- Enhancing Virtual Agents through SLMs and Edge-Computing: An Exploratory Evaluation of Think and Memory ProcessesLLM reasoning → Spatial and embodied reasoning +1
- Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary ProceedingsRetrieval-augmented generation → Legal and financial RAG
- FIRE-VLA: Failure-Informed Self-Evolution for Vision-Language-Action Models in Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- Rules or Character? Scaling Laws for AI Safety DesignLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- LongEarth-R1: Benchmarking and Aligning Vision-Language Models for Long-Horizon Earth Observation ReasoningLLM reasoning → Spatial and embodied reasoning +1
- RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent MemoryLLM agents and tool use → Agent memory systems
- Beyond Local Accuracy: A Protocol-Level Identifiability Audit for Controlled LLM Reasoning EvaluationLLM reasoning → Test-time compute and efficient thinking
- StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning ServicesLLM reasoning → Test-time compute and efficient thinking
- How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning?LLM reasoning → Clinical and biomedical applications
- Refusing Intent, Not Form: Wrapper-Based Intent-Group Supervision for LLM SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Refine After Generation: Toward Correct and Concise Patches in LLM-based Program RepairLLM agents and tool use → Software engineering coding agents
- How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific FiguresLLM reasoning → Multimodal reasoning +1
- vToken: Token-Level Virtualization for Reclaimable KV CachesEfficient LLM inference and serving → KV cache optimization
- Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and EditsLLM reasoning → Clinical and biomedical applications
- Reasoning for Social Audio-Visual Question Answering: Where Do We Stand?LLM reasoning → Audio-language model reasoning +1
- When Should Multi-Round RAG Stop? Structured Stopping Judgments and Retrieval Reduction in Search-R1Retrieval-augmented generation → RAG robustness and adaptive retrieval
- CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal TransportLLM reasoning → Spatial and embodied reasoning +2
- TsuGO: Probing Search Efficiency in LLM Reasoning via Go Life-and-Death ProblemsLLM reasoning → Test-time compute and efficient thinking
- HPSD: Hybrid-Policy Self-Distillation for Text-Image-to-Video Diffusion ModelsDiffusion models → Video generation
- GEM: A Generative Embedding Model Bridging Reasoning and RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- Teach the Magnitude, Not the Direction: Verifier-Bounded Credit Assignment for Multi-Turn Multi-step LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- SkillShapley: Boundary-Adaptive Shapley Valuation for Skill Step Attribution in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic RestraintMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- MergeOver: Post-Training Token Merging for Recursive Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Numeracy in Large Language Models: Fundamental Limitations and Paths to ImprovementLLM reasoning → Mathematical reasoning
- Potential Applications of HBF in LLM Serving SystemsEfficient LLM inference and serving → Serving systems and request scheduling
- QuISE: Defense against Typographic Attacks on VLMs via Query-Irrelevant Semantic EditingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- EgoMonth: A Month-Level Egocentric Video Benchmark for Long-Term Spatiotemporal MemoryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- S2-HWM: Sparse Event-Structured Hierarchical World Model for Long-Horizon Surgical Robot ManipulationWorld models → Embodied and robot world models
- FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow MatchingDiffusion models → Flow matching, time series and science
- Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World ScenesLLM reasoning → Spatial and embodied reasoning
- SPADE: Speculative Decoding for Precise and Low Cost Distributed Edge Cloud InferenceEfficient LLM inference and serving → Early exit and edge inference
- Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment BoundsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VALG: An Agentic System for ML Theory ResearchLLM agents and tool use → Educational agents and math problem solving
- TEMPO: Makespan-Aware Expert-Parallel Load Balancing Across Memory- and Compute-Bound RegimesMixture-of-experts → Efficient MoE training and inference systems
- H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World ModelsWorld models → Embodied and robot world models
- From Local Mismatch to Global Impact: Optimizing Cache Reuse Policy for Efficient DiffusionDiffusion models → Video generation
- Spatially-Grounded Text-to-Video Generation via Inference-Time Gradient-Free OptimizationDiffusion models → Video generation
- UniTraffic-Agent: Unified Traffic Video Reasoning for AI City Challenge 2026 Track 3 with Two Out-of-Domain EvaluationsLLM reasoning → Chain-of-thought reasoning for driving +1
- InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Static analysis-guided agentic AI translation enables Rust as a full stack bioinformatics languageLLM agents and tool use → Medical and scientific domain agents
- Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- RAGSieve: Self-Referenced Local Contrast for Knowledge-Poison Detection in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- HybridRAG-BN: A Retrieval-Augmented Framework with Fine-Tuned Verification for Bangla KBQARetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- PixSDS: Why Latent SDS Makes Noisy PixelsDiffusion models → 3D, point cloud and scene generation
- LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level ConsolidationLLM agents and tool use → Agent memory systems
- Reconcile Once, Write Anytime: A Trust-Tiered Librarian and a Multi-Agent Writer for Drift-Free, Point-in-Time ResearchLLM agents and tool use → Web, search, and research agents
- Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- The Objective Is the Bottleneck: Latent World Models Encode What Their Planners Cannot UseWorld models → Latent predictive world models
- I-SDPO: Instance-Level Adaptive Self-Distillation Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- VoxAudio: Vocalized Audio Synthesis via Multi-Reward Autoregressive Flow MatchingDiffusion models → Audio, speech and music
- Diagnosing JEPA World Models with Action-Conditioned Predictive ConsistencyWorld models → Latent predictive world models
- FlashDrive: Flash Vision-Language-Action Inference for Autonomous DrivingVision-language-action models → VLA for autonomous driving +2
- Polish Medical Visual Question Answering: Vision-Language Models Underutilize Visual EvidenceMultimodal LLMs / vision-language models → Medical vision-language models
- Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal InferenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- TennisVAR: A Stroke-Evidence-Grounded Multimodal Large Language Model for Tactical Reasoning in Tennis VideosLLM reasoning → Multimodal reasoning +1
- Towards Socially Compliant Navigation in Deep Reinforcement Learning via Proxemics-Based Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Visual Evidence: Revealing and Mitigating Relational Privacy Leakage in Document MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- HounsWorld: A Multimodal World Model for Hidden Patient-State Readout, Reconstruction, and SimulationWorld models → Medical and surgical world models
All 415
- Agent Behavioral Contracts II: Certifying Compositional Reliability Without Assuming IndependenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Your Agent Opens the Chat App: Agent-Controlled Search over Raw Chat Logs Rivals Structured MemoryLLM agents and tool use → Agent memory systems
- ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact VerificationLLM reasoning → Reasoning benchmarks and evaluation
- SPARED: Reasoning-Based AI-Generated Image Detection via Adversarially Edited DataLLM reasoning → Multimodal reasoning
- The Embedder's Dilemma: LLMs Are Better, but at What Cost?LLM reasoning → Knowledge- and tool-augmented reasoning
- BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous DrivingWorld models → World models for autonomous driving +1
- Practice Makes Unsafe: Skill Misevolution in Self-Improving LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- AQuA: Recursively Self-Improving Quantitative Trading Research AgentsLLM agents and tool use → Financial trading and forecasting agents
- From Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer OptionsLLM reasoning → Reasoning benchmarks and evaluation
- Fast A/B/n Testing: Exact Multi-Policy Comparison via Tree-Coupled Feedback SharingLLM agents and tool use → Reinforcement learning for LLM agents
- Semantic Steering for Controllable Generation: Tuning-Free Concept Erasure in Multimodal Diffusion TransformersDiffusion models → Robustness, privacy and adversarial aspects
- HiRoute: Hierarchical Routed Prompt Tuning for Safety Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A Comprehensive Empirical Evaluation of Vector Database Systems for Approximate Nearest Neighbor Search: Performance, Quality, and Resource Trade-offsRetrieval-augmented generation → Vector search and ANN indexes
- Erase but Preserve: Controllable Removal of Copyrighted Animation Characters via Optimized Semantic AnchorsDiffusion models → Robustness, privacy and adversarial aspects
- Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMsLLM reasoning → Multimodal reasoning +2
- SCOPE: Subspace Clustering with Online Per-Head Top-K Estimation for Sparse Video AttentionDiffusion models → Video generation
- CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical NarrativesLLM reasoning → Clinical and biomedical applications
- Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search AgentsLLM reasoning → Knowledge- and tool-augmented reasoning
- Correct Is Not Governed: Provenance Integrity in Agentic WorkflowsLLM agents and tool use → Agent threats, guardrails and governance
- SynAct: A Reasoning-Acting Large Language Model Agent for Adaptive Synthesis OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- Dual-Stream Cross-Anchor Correction Grounding Long-Form Captions and the Domain Limits of Object-Level AnchorsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial IntelligenceLLM agents and tool use → Multimodal and embodied agents
- MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- HybridSB-MoE: Dual-Domain Schr"odinger Bridges with Scene-Adaptive Expert Routing for Speech EnhancementMixture-of-experts → Multimodal MoE models
- Tracing Provenance and Detecting Tampering with Complementary LLM WatermarksLLM safety and security → Watermarking generated content and models
- Mr3D-VL: A generalist vision language foundation model for Multiparametric 3D Magnetic Resonance ImagingMultimodal LLMs / vision-language models → Medical vision-language models
- Privacy-Preserving RAG by Concealing Sensitive Information from External LLMsRetrieval-augmented generation → Privacy and security of RAG
- Lines and Ladders: A Context-Aware Multi-Agent Framework for Large-Scale Retail Price TaxonomyLLM agents and tool use → Social simulation and multi-agent debate
- Information-Theoretic Decoupled Prompt Tuning for Continual Learning
- Can You Delete a Year of Market Data? Machine Unlearning Against Exact Retraining Oracles
- Graph Learning for Cross-Subject, Cross-Population EEG Emotion Decoding and Model-Derived Spatial-Spectral Neural Signatures
- Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflict
- A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs
- Semantic Variability of Replies Across LLMs: Implications for Designing Conversation-Based Assessment
- When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
- How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
- Iterative Refinement Diffusion for Super-Resolved Data Assimilation of Multiscale Physical Systems
- Generative Learning of Separatrices
- PandasCorpus: A Resource of Real-World Pandas Workflows and Usage Patterns
- From Dense Prediction to Visual Editing: Structured Supervision for Unified Image and Video Creation
- Class Imbalance and Batch Effects in LLM-Based Screening for Systematic Reviews
- AccretionLink: On-Device Auditing of Exposure-Control Attacks on Attribute Inference
- Unraveling the Size Determination Mechanism of Nanocrystal Synthesis via Interpretable Neural Networks
- A Novel Fourier Feature Network for Solving Partial Differential Equations
- Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach
- IP Protection in the Era of Visual Generative AI: A Survey
- AdsWorldEngine: A Self-Evolving Conversational Advertising Agent through Orchestrator and Tool Coevolution
- HI-MeshGraphNets: Efficient and Accurate Mesh-based Physics Learning with Hierarchical Multi-scale Graph Neural Networks
- SPEAR: Structure Property Explainability with Attention Regularization
- SDO: Subspace Deconflicting Operator for Multi-Adapter Composition
- Trajectory Dynamics in Self-Supervised Learning Latent Space for Audio Deepfake Detection
- What preferences can - and cannot - predict in multi-agent online learning
- Optimal Power Allocation and AI Receiver Design for Superimposed DMRS and Data Transmission
- Label-Free Deep-Tissue Peripheral Nerve Detection with a Handheld Multimodal OCT Probe and NerveDetNet
- Stochastic Control Policies for Robust Molecular Transition Path Sampling
- Dynamic Multi-Depot Vehicle Routing with Online Requests: Event-Driven Transformer--DRL and Rolling-Horizon Benchmarking
- Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction
- On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization
- VLM- and LLM-Driven Multi-Agent System for PET Image Denoising
- PPAPlace: Differentiable Cross-Stage Objectives for Chip Placement Optimization
- Do AI chatbots find what experts would? Effects of model, user role, and sample size on study retrieval for medical questions
- Doomed to Re-Annotate, Forever: The ImageNet Story
- FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC
- CutClean: Neural Network Pruning for Privacy-Preserving Inference
- Kolmogorov-Arnold Networks for Spatially Independent Multispectral Land Classification
- Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement
- The Integer Alibi: Localizing Cross-Kernel Divergence in INT8-Quantized LLM Inference
- Explanation Multiplicity: Circuit-Level Interpretability Evidence Does Not Survive Defensible Analytic Variation
- An Interactive, Automated 4D-STEM data acquisition and analysis routine for Scanning Electron Nanobeam Diffraction and Ptychography experiments
- CAST: Closed-form Analytic Semantic Transfer for Zero-Shot Classifier Extension
- Data-driven techniques for translational neuroscience and personalized neuro-health
- Does ISO-Grounded NFR Specification Improve LLM Code Generation? A Comparison of Rich and Structured Interventions against a Natural-Language Baseline
- GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis
- Building AI-Intensive Software with AI: Early Results and a Cautionary Tale on Measuring Development Cost
- Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP
- BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages
- Capacity-Dependent Effects of Data Selection for Reasoning
- Coverage Aware Active Evaluation for Failure Discovery with Paired Systems
- StreamHear: Domain-Adapted Pseudo-Labeling for Semi-Supervised Streaming Speech Recognition
- Reading Between The Lines: Modeling and Evaluating Behavioral Realism in Legal Simulation
- TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
- SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers
- Language-Specific Gaps in AI Safety Training Datasets
- MedPlex: Deep Vision-Language Co-Adaptation for Clinically Grounded Medical Segmentation
- Learning to Assemble Novel Structures with Unfamiliar Parts under Semantic Constraints
- Fine-Tuning Qwen3-27B for C-to-Rust Code Translation: A Three-Stage Curriculum of Pretraining, Debugging-Aware SFT, and Task-Specific SFT
- EEG-PRISM: Physiologically-Grounded Interpretability of Predictions by EEG Foundation Models
- From BERT to Frontier Agents: Eight Years of Language-Model Progress, the Collapse of the Capability-Cost Curve, and the Rise of Task-Targeted Models
- Asymmetric Discourse Homogenization and Shared Language Technology: Evidence from Reddit
- PROVE: Training-Free Prompt Recovery using Verifiable Evidence
- The Query Knows What to Forget: A Second Erase Direction for Linear Attention
- What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation
- Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments
- Consistent Model Chasing Is Minimax Optimal: The Exact Value of Scalar Adversarial Adaptive Control under Large Parametric Uncertainty
- Unknown Unknowns: Model Misspecification in Machine Learning for Physics
- Exploring ESC Winners with Nested Diagrams
- Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets
- Robust Dual-Model Collaborative Random Vector Functional Link Network
- A Calibrated Test of Internal Action Maps: State Signals Without Global Affine Closure
- Reward Machines for Signal Temporal Logic
- Measuring Fairness in Large Audio Language Models via Semantic-Aware Bias Estimation
- ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction
- Your Probabilistic JEPA Is Secretly a Hidden Markov Model: A State-Space Interpretation of Joint-Embedding Predictive Learning
- OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
- V-RAE: Rethinking Video Latent Spaces for Generation
- HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark
- Defensive Boosting for Online Probabilistic Forecasting
- Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure
- QuoteBench: How Matched Scores Can Hide Command-Path Failures
- LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
- SCULPT: Subtractive Composition for 3D Part Generation
- SAEVerbalizer: Generating Explanations for Sparse Autoencoder Features via Representation Verbalization
- Vero: Can AI Agents Build Formally Verified Software Repositories?
- Exponential quantum advantage for learning signals with a single qubit
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
- Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology
- DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data
- Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining
- Bagging Robustly Learns VC Classes with Linear Sample Complexity
- TabSOM: A tabular-to-image encoding method based on self-organizing maps
- On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective
- Equivariant learning of a transferable three-dimensional classical density functional
- Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration
- GS2CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors
- TraVEL: Trajectory-Guided Video Embedding Learning for Driving-Video Retrieval
- Toward a Gricean Retreat: Probing LLMs for Knowledge Boundaries and Referent Specificity
- Synthetic Persona Pretraining: Alignment from Token Zero
- AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models
- Active-Trace Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling
- Concept Drift Detection and Adaptive Retraining of Malware Classification Models
- Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization
- CAPRI: Contract-Aware Proof Repair for Isabelle
- Fine-Grained Action Recognition with Cross-Attentive Latent Sparse Experts
- Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion
- Evaluation of Clinically Steerable Retinal Image Generation from Foundation Model Latent Spaces
- LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles
- Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension
- Algebraic Decomposition Theory for Transformer Length Generalization
- Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
- RAIL: An Automatic Classifier of the Artificial Intelligence Readiness Level
- Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference
- Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
- Wasserstein Filtering: A Sample Selection Method for Robust Distribution Learning
- Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development
- StreamTTT: Reconciling Real-Time Perception and Long-Term Memory in Streaming VLMs
- Deliberate Practice: Learning Robot Skills under a Budget
- Jointly Predicting Courses and Grades Using a Transformer-Based Model
- Heterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks
- Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation
- TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies
- CROP: Task Relevance via Counterfactuals for Selective On-Policy Distillation
- When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL
- Reconstructing Historical Manuscripts through MSI: The Potential of Contrast in Assessing Image Quality and Legibility
- Sign Language Video Synthesis via Loss-Guided Multi-Expert GANs
- When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation
- AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage
- Simulation-to-real transfer learning for infrared spectroscopic chemical sensing and analysis from molecules to complex samples
- Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation
- Neural Quadratic Forms: A Unified Minimal Model for Sudden Learning and Scaling Laws
- LLM-Guided Graph Generation for Structure-Based Local Improvement Methods
- Training AI Scientists to Replicate Research
- A Probe Direction Is a Property of Its Prompt
- It's How You Ask: Gender-Associated Linguistic Bias in LLMs
- Foundation models for movement data: Are they ready for prime-time?
- Physics-informed distribution of relaxation times estimation and latent-space condition monitoring of solid oxide fuel and electrolysis cells from electrochemical impedance spectroscopy
- The Time Value of Evolution
- Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks
- NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space
- EEG Decoding Using CNN and LSTM Network
- Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision
- Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model
- Sovereign by necessity? Frontier AI export controls, cyber security, and the limits of national AI capability
- Into the ORBIT for Time Series: Training Regimes for Foundation Models
- Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations
- Self-Referential Induction Increases Response Instability Relative to Unresolvable and Verifiable Questions in Large Language Models
- Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data
- GeoCache: Training-Free Acceleration of Multi-View Texture Diffusion via Geometric Delta Transport
- Follow the Norm: Accounting for Fine-Tuning and Prompt Effects on Model Rationales
- Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations
- Foundations of Independent Component Analysis
- Capability Sheaves for Compositional Agent-Harness Repair: Controlled Quotients and a Real-Repository Stress Test
- Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty
- UniCon-Former: Unified Convolution Transformer is All You Need for Hand Gesture Recognition
- History-informed Lagrangian Neural Networks
- TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures
- NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
- Chance-constrained selection of sequential intervention strategies from counterfactual estimates
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich
- Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcity
- Fidelity-Constrained Anchoring for Black-Box Denoisers
- ProME: Prototype-Margin Environments with Repair-Aware Selection for Group-Robust Learning
- SketchSense: Learning to Interpret Imperfect Sketch Guidance for Image Inpainting
- A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources
- High-dimensional networks and mean squared error for possibly misspecified models
- Which LLM Is Your Ideal Companion? Evaluating Emotional Companion Capabilities of LLMs Based on Adult Attachment Theory
- Splat-based Metal Artifact Reduction in Cone-Beam CT via Polychromatic Modeling
- Rethinking Normalization Placement for LLMs: Post-Norm under Curriculum Depth Growing
- Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis
- Geometry-Grounded Unified 3D Perception for Autonomous Driving
- LipCache: A Local Inference Proxy with Certified Caching for Edge Image Classification Service
- LigBench: A Unified and Human-Aligned Benchmark for LLM-based Research Idea Generation
- Predicting Signed Distance Functions for Visual Instance Segmentation
- Statistical Properties of Robust Learning under Distributional Shifts
- Huber-Wasserstein barycenters for robust distribution-valued data
- SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback
- Branch and Bound for Relational Verification of Neural Networks
- Fast Iterative Five point Relative Pose Estimation
- Towards Physics-Faithful Generation of Scientific Diagrams
- Robust Dempster-Shafer Evidence Fusion with Chaos-Conflict Measurement and Historical-Experience Weighting
- Online Learning of Correspondences between Images
- RbFT-Net: Rectify-Before-Fuse Temporal Radar Anchors for 4D Radar-Camera Depth Completion
- CASA: Content-Acoustic Speaking Assessment with Speech Encoder and Large Language Model
- Multi-Layer Context Camouflaging: A Semantic Superposition and Contextual Lamination Framework for Malpractice-Resilient Online Assessment
- Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
- Sampling Luck Masquerades as Allocation Gain: Auditing Test-Time Budget Allocation for Neural Combinatorial Optimization
- LOB-ID: Evaluating Synthetic Market Data by Inception Distances
- Constrained Graph Diffusion for Mixed Integer Optimization
- A Multispectral Framework for the Detection of Calcium Carbide-Induced Ripening and Shelf-Life Estimation in Climacteric Fruits
- EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding
- Learning Unified Video and Image Representation for Video Face Forgery Detection
- Explanatory Engagement Under Rare Anomalous Failure: Asymptotic Rarity in Model Behavior (or: The Asymptotic AI)
- Uniform Herding: Exemplar Replay with Representation Refresh
- Operationalizing Cyber Threat Intelligence with GraphRAG
- DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition
- Topology-Unified 2D Pose Estimation across Intact, Residual and Prosthetic Limbs
- BoardroomAI: Dependency-Aware Human-Steerable Multi-Agent Deliberation through Evolving Decision Graphs
- P2Fusion: Prompt-based Progressive Infrared-Visible Image Fusion via Dual-Prior Distillation
- Latent On-Policy Self-Distillation
- On the global feature importance for interpretable and trustworthy heat demand forecasting
- RGB-D Video Generation for Improving Human-to-Robot Object Handover Prediction
- Incremental Evaluation and Training in Relational Deep Learning
- Foundations of MT-PDCL: Measure-Theoretic Probabilistic Definite Clause Logic
- EgoPHI: Estimating 3D Hand-Object Contact and Force from Egocentric Vision
- Structure-aware Riemannian Growth Fields for 4D Plant Modeling
- EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrieval
- OGR-MARL: Option-Guided Residual Multi-Agent Reinforcement Learning for Heterogeneous USV Cooperative Pursuit in Constrained Port Waterways
- Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data
- Generative Universal Multimodal Retrieval with Dual-role Identifiers
- Learning the Mathematical Property for Designing Low Mutual Coherence Binary Sensing Matrices
- DiCoR: Decoupled Referent Disambiguation and Contour Recalibration for Efficient Referring Remote Sensing Image Segmentation
- Comment on "Modeling rapid language learning by distilling Bayesian priors into artificial neural networks"
- Online Inference for Quantile Temporal Difference Learning in Distributional Reinforcement Learning
- Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning
- Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice
- Moose: Latent concept learning with reasoning-shortcut awareness in EL++
- A Deep RL based Framework for Targeted White Matter Tractography
- Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization
- CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
- AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization
- Decomposition of Evidence, Contradiction, and Fragility in Perturbation Responses
- Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance
- H-VAEP and H-xT: Valuing Offensive On-the-Ball Actions in Handball by Estimating Probabilities
- Momentum as Residual-Driven Multiplier Correction for Deep Learning Optimization
- InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
- Decoupled Contrastive Decoding via Expert-Aligned Drafting
- Revisiting Overestimation Bias Problem of Q-learning: Settling Large Discrete Action Space via Action Intersection
- EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction prediction
- Prompts in the Wild: A Large Analyzed Collection of Transactional Prompts in Code
- Adaptive k Nearest Neighbors Classifier via Granular Ball Computing
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian
- Predictive Memory Localization: Forecasting Selective Intervention Paths from Internal Signals
- Distinguishing case-mix from context heterogeneity in prognostic regression model synthesis settings
- Labels Are Not Endpoints: Treatment Leakage and Construct Validity in MCP Agent Security Evaluation
- Robust data-driven discovery of fractional differential equations via weak formulations and Pareto-based subset selection
- Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning
- A Compositional Theory of Curvature in Probabilistic Circuits
- Discovering Persistent Behavioural Patterns for Interpretable Blockchain Forensics
- AI and Consumer Rights in India Working Paper
- Falsehood and Impossibility Are Different Directions in an AI's Representation of Language
- Beyond Retrieval: Query-Conditioned Reuse of Long-Horizon Agent Trajectories
- FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation
- Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval
- CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation
- Distribution Steering via Sliced Optimal Transport Control
- Validation of Smartphone-Based Photogrammetric 3D Body Scanning for Automated Anthropometric Measurements Compared with a Commercial Depth-Sensor-Based Body Scanner
- LocusGS: Spatially Grounded Tokens for Feed-Forward 3D Gaussian Splatting
- FastThaiG2P: Lightning-fast Thai Grapheme-to-phoneme Conversion for Voice Agent Pipelines
- Structured Local Differential Modeling for AI-Generated Image Detection
- CoMedBench: A Multi-Source Benchmark of Synthetic Medical Data Fidelity and Downstream Utility
- Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation
- Thermodynamics of Learning: A Typed Four-Component Accounting of Memory, Fit, and Value
- PIPES: Securing Agent Perception with Provenance and Priors
- ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs
- ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
- CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers
- Memorization Diagnostics for Code LLMs Should be Scale-Aware
- PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization
- PROVE-RT: Generating Mechanized Theorem Prover Scripts for Real-Time Systems using LLMs
- Difference-of-Convex Regularization for Graph Learning by Differentiable Programming
- ReconSpan: Reconstruction-Guided Adaptive Latent Tokenization
- Decentralized Multi-Player Q-Learning in Episodic Markov Decision Processes with Information Asymmetry
- PatientAct: Theory-Grounded Mental Health Client Simulation
- Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding
- A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings
- Dual-Manifold Geometry Guided Representation Learning: Adaptive Coupling between Kernel and Data Spaces
- A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules
- VOS-Agent: The 1st Place Solution for the 8th LSVOS Challenge (MOSEv2 Track)
- ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval
- Error-Aware Reverse Auction Mechanism for Large Language Model Routing
- Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia
- Towards Sparsely Annotated Open-World Object Detection
- Federated Compositional Muon Optimizer for Matrix-Wise Models
- Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level
- A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family
- Class Geometry as Supervision for Sample-Efficient Open-World Detection
- The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning
- Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization
- High-resolution Calibrated Probabilistic Hourly Precipitation from a Deterministic Forecast
- FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition
- Demand Transfer Estimation at Scale via Restricted Logit Modeling
- Beyond the Best Guess: Improving LLM Solution Coverage with Evolution Strategies
- The Role of Natural Language Understanding in Multimodal Video-Based Dengue Diagnosis
- On the Expressive Power of Transformers
- Designing AI Pipelines for Decision-Ready ITSM Intelligence