Papers
Sun 2 Aug 2026
299 papers
- RADAR: Readiness for AI Discovery and Agentic ReachLLM agents and tool use → Agent threats, guardrails and governance
- M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory PredictionMixture-of-experts → MoE in reinforcement learning and robotics
- Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI InferenceRetrieval-augmented generation → RAG pipeline design and evaluation
- CARA: Cognitive Adaptive Recommendation AgentLLM agents and tool use → Agentic recommender systems
- BRA-Audit: Budgeted Runtime Auditing for LLM Multi-Agent Systems via Cumulative-Exposure Audit-Point PlacementLLM agents and tool use → Agent threats, guardrails and governance
- Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent SystemsLLM agents and tool use → Web, search, and research agents
- Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Towards Sustainable Learning in Online Education: A Reinforcement Learning ApproachDeep reinforcement learning methods → RL training of language and agent models
- Mechanistic Interpretability-Guided Selective Fine-Tuning of Vision-Language Models for Centimeter-Level Flood Depth EstimationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AeroDPO: Unleashing Lightweight UAV Navigation with High-Fidelity Perception and Automated Preference OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- You Don't Need To Stay in The Loop: An Agentic Robotics Loop for Robot-Policy ImprovementLLM agents and tool use → Multimodal and embodied agents
- EDATracer: An Agentic Framework for Large-Scale EDA Artifact AnalysisLLM agents and tool use → Software engineering coding agents
- DenialRAG: Single-Document RAG Poisoning via Embedded Parametric DenialRetrieval-augmented generation → Privacy and security of RAG
- Moving the Safety Barrier: Dynamic Routing Adaptive Alignment Against White-Box AttacksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Permission Denied: Policy-Graded Evaluation of Coding Agents in Hardened EnvironmentsLLM agents and tool use → Software engineering coding agents
- V-Mem: Modality-Routed Retrieval for Long-Term Multimodal Agentic MemoryLLM agents and tool use → Agent memory systems
- STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar SupervisionLLM reasoning → Chain-of-thought reasoning for driving +2
- Recursive Vision Language Models for General Symbolic ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition MathematicsLLM reasoning → Reinforcement learning for reasoning +1
- Deep Agentic Search for Repository-Level Code Question Answering: An Empirical StudyLLM agents and tool use → Software engineering coding agents
- Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural PruningKnowledge distillation → Detection and dense prediction distillation
- Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMsMultimodal LLMs / vision-language models → Medical vision-language models
- Retrieval Augmented Biomedical Question Answering with Weak Question Recovery and Neural Reranking for BioASQ Task 14bRetrieval-augmented generation → Medical and biomedical RAG
- Computing with Agentic OraclesLLM agents and tool use → Agent memory systems
- Where Reasoning Diverges: Localized Multi-Agent Debate for Multi-Hop Question AnsweringLLM agents and tool use → Social simulation and multi-agent debate
- PALMs: Using Multi Construct-Grounded Rationales for Modeling Population Preferences in LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Real-Time Hybrid Retrieval in Hyperbolic Space for Retrieval-Augmented Generation on Edge DevicesRetrieval-augmented generation → Generation and context integration
- Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied AgentsLLM agents and tool use → Tool learning and function calling
- Training Small LLMs as Spatial Multi-Agent PoliciesLLM agents and tool use → Reinforcement learning for LLM agents
- QR-Erase: Efficient Subspace-Based Machine Unlearning with Layer LocalizationLLM safety and security → Machine unlearning
- No Single Neuron of Failure: Distributed Safety Alignment Against White-Box AttacksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix ThemVision-language-action models → Tactile, force-aware and humanoid VLA
- SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy SpaceWorld models → Embodied and robot world models
- Why Formal Monitors Fail: Attack Distribution Entropy as a Coverage Bound for LTL-Based LLM Agent SafetyLLM agents and tool use → Agent threats, guardrails and governance
- DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile ManipulationWorld models → Embodied and robot world models
- The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal GuardrailsLLM safety and security → Vision-language and text-to-image safety
- CRAFTS: Collaborative Role-Adaptive Fine-Tuning of LLM Agents for Chemical Process SimulationLLM agents and tool use → Medical and scientific domain agents
- Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task ResolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- EviSD: Evidence-Conditioned Self-Distillation for Search-Augmented AgentsKnowledge distillation → On-policy and self-distillation for LLMs
- HopRefusalBench: Diagnosing Refusal Failures in Search-Augmented Agents for Multi-Hop ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- PixVL: Self-Supervised Training of Pixel-Level MLLMs via a Unified Mask--Text Consistency CycleMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Prompt-Induced Waste in Coding Agents: Reasoning, Effort, Harness Design, and End-to-End CostLLM agents and tool use → Software engineering coding agents
- Hybrid AI for Explainable and Accurate Conversational Agents in eGovernmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- LongChart VQA: A Comprehensive Benchmark for MLLMs with Complex Multi-Chart ReasoningLLM reasoning → Multimodal reasoning +1
- Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- AlphaG-OPD: Reliability-Gated Sibling Counterfactuals for On-Policy Distillation in Symbolic Alpha Factor DiscoveryKnowledge distillation → On-policy and self-distillation for LLMs
- UDT: Reconciling U-Nets and Diffusion Transformers with Data-Adaptive Token ReductionDiffusion models → Diffusion foundations and sampling +1
- CrossLex: A Source-Grounded Benchmark for Cross-Jurisdictional Legal Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Stop When Memory Suffices: Evidence-Conditioned Progressive Execution for LLM AgentsLLM agents and tool use → Agent memory systems
- Training nGPTMixture-of-experts → Expert routing strategies
- Rethinking Video Token Compression with a Global Codebook: Learning Once, Compressing EverywhereLLM reasoning → Multimodal reasoning +1
- ACE-GraphRAG: Agentic Context Engineering for Hierarchical GraphRAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- Hermite Curves as Trajectory Priors for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Distill What the Student Can See: Fisher-Projected On-Policy Distillation for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- A Benchmark Dataset for MLLM-Generated Image Detection: GPT Image2 & Nano Banana2Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- RestoreKV: Recovering Full-Cache Behavior Under Aggressive Query-Agnostic KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- Evaluating VLMs on Multimodal Aristotelian Persuasion TasksMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning What to Remember and What to Internalize in LLM Self-Evolution via Adaptive Memory-Parameter CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Perspectives on Tsallis Statistics for Artificial IntelligenceDeep reinforcement learning methods → RL theory and sample complexity
- EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic NavigationWorld models → Medical and surgical world models
- VaRS-Doc: Interpretation-Aware Variant Representations via Latent Self-Probing for Visual Document RetrievalRetrieval-augmented generation → Multimodal RAG
- Climate-Dyna Deep Hedging for XVAs: Model-Based Reinforcement Learning, Residual Climate HVA, and Hedge-Instrument DiscoveryDeep reinforcement learning methods → Adversarial robustness and RL in finance
- It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time ScalingLLM reasoning → Multimodal reasoning +1
- ReBRAC-v2: The Return of the KingOffline RL and imitation learning from data → Offline RL algorithms +1
- PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion PlanningEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- A Unified Benchmark for Privacy-preserving Vector SearchRetrieval-augmented generation → Privacy and security of RAG
- MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model DeploymentLLM agents and tool use → General LLM agent frameworks and benchmarks
- 3DZip: Spatial-Aware Feature Diversity-Guided Token Compression for 3D Question AnsweringLLM reasoning → Spatial and embodied reasoning +2
- The Graph Language: How Knowledge Graphs Speak to Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Think in Sets for Streaming Video Token CompressionLLM reasoning → Multimodal reasoning +1
- PATH-Bench: Path-Dependent Evaluation of Lifelong AgentsLLM agents and tool use → Agent memory systems
- Policy Optimality Measurement for Multi-Vehicle Decision-Making: From Extrinsic Indicators to Intrinsic QualityDeep reinforcement learning methods → RL for autonomous driving and traffic
- MiniWorld: Democratizing the Training of Video World Models from ScratchWorld models → Video-generation world models and simulators +1
- SoK: Intent-Oriented Systematization of Multi-Turn LLM JailbreaksLLM safety and security → Jailbreaking
- Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical ImagingLLM safety and security → Machine unlearning
- Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent DiffusionDiffusion models → Audio, speech and music
- When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- Attend to Your Own Thoughts: Breaking the Barrier for Post-Training Quantization of Reasoning LLMs through the Lens of 1.58-Bit QuantizationLLM reasoning → Test-time compute and efficient thinking
- One Query, Many Scales: Sparse Mixture-of-Experts for Efficient Hierarchical Cross-View Geo-LocalizationMixture-of-experts → Vision mixture-of-experts
- Control Under Compression: Reliability Frontiers for Tool-Using AgentsLLM agents and tool use → Tool learning and function calling
- Credit the Right Box: Marginal Contribution Assignment for Structured Visual PerceptionLLM reasoning → Multimodal reasoning +1
- Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at ScaleLLM agents and tool use → Agent skill learning and evolution
- FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban WorldsWorld models → Video-generation world models and simulators
- Decoy Images Amplify Caption-Mediated Defenses Against Encoded JailbreaksLLM safety and security → Vision-language and text-to-image safety
- What Could the Agent See at 19:05? Generating Temporal Enterprise Scenarios from Real Research and Replaying Them to Evaluate AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLAVision-language-action models → VLA for autonomous driving +2
- Why LLMs Give In: Conversational Factors and Reasoning Behind Medical SycophancyLLM reasoning → Clinical and biomedical applications
- Cloud-ScPO: Hidden-State Geometry for Semi-Supervised Preference Optimization in LLM ReasoningLLM reasoning → Mathematical reasoning +1
- RL Bootstrapping of OpenVLA-OFT for a Novel Robot EmbodimentVision-language-action models → Reinforcement learning and post-training
- Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Who Belongs in the Eval Set? A Capability-Taxonomy-Driven Pipeline for Curating Regression Eval Sets in Agent-Extensibility PlatformsLLM agents and tool use → General LLM agent frameworks and benchmarks
- From AI Technical Debt to Agentic Technical Debt: A Systematic Mapping of Root Causes and Manifestations in Agentic AI SystemsLLM agents and tool use → Software engineering coding agents
- Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side DecidableLLM agents and tool use → Web, search, and research agents
- One-Sided Quantile Coupling for Flow MatchingDiffusion models → Flow matching, time series and science
- MonitorVLM-v2: A Deployed Vision-Language Framework for Real-Time Safety Violation DetectionLLM reasoning → Reasoning for agents, planning and code
- Search-GRT: Guided Retrieval Training of Search Agents to Optimize for Complex Question AnsweringLLM agents and tool use → Web, search, and research agents
- Mind the Gap: Zero-Query Jailbreaks via Filter-Generator Discrepancy in Text-to-Image SystemsLLM safety and security → Vision-language and text-to-image safety
- PROGRESS: Coverage-guided RL to Train Search-augmented LLM AgentLLM reasoning → Knowledge- and tool-augmented reasoning +1
All 299
- TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue AgentsLLM agents and tool use → Agent memory systems
- AgenTag: Attribution of AI Coding Agents from Behavioral FingerprintsLLM agents and tool use → Software engineering coding agents
- Claim Plane: Reliability Gains and the Limits of Selective Concurrency for Parallel Coding Agents: A 30-Pair, Three-Seed Confirmatory Study of Deterministic Pre-Write AdmissionLLM agents and tool use → Software engineering coding agents
- Neuro-Symbolic Participation Governance for Verifiable AI Agents in Open Digital Twin EcosystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) ModelLLM agents and tool use → Social simulation and multi-agent debate
- RefactorAssist: Agentic Refinement for Reliable Code RefactoringLLM agents and tool use → Software engineering coding agents
- Tevatron Meets Megatron: Expert-Parallel LLM Reranker Training on an Academic BudgetMixture-of-experts → MoE large language models +1
- Practical Online KV Cache Compaction for LLM Agents: An Empirical StudyLLM reasoning → Test-time compute and efficient thinking +2
- Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
- Policy-Backed Selective Regeneration under Tainted Inter-Agent Communication
- RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty
- Differentiable Policy Transport over Multi-Layer Network Feasibility Geometry
- Not All 4-bit Quantizers Are Equal: Deployment-Time Mitigation of PII Leakage in Fine-Tuned Small Language Models
- Damage-Aware Bandit Pruning for Vision and Language Transformers
- Human-AI Co-Interpretation for Responsible AI: A Hermeneutic Perspective
- Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls
- Intelligent Identification and Repair of Design Defects in BIM via Domain-Specific Large Language Models
- FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud
- ARGUS: Attention-Guided Transformers for Scalable Person Identification Using Wi-Fi Telemetry
- Beyond Correctness: Toward Automated Novelty Verification with Lean 4
- BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Model
- XEns-CKD: An Explainable Ensemble-Based Approach for Chronic Kidney Disease Stage Detection
- MVMD: A Multi-View Approach for Enhanced Mirror Detection
- Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning
- MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architectures
- Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes
- AI Sandbox: Technical Report
- When Policies Change Probabilities: Modular Decision-Making for LLM Code Review
- dots.tts.edit: Precisely Controlled Speech Editing with a Continuous Autoregressive Model
- Security-First Evaluation of Text-to-Terraform: Benchmarking LLMs and SLMs for Secure IaC Generation
- On the Performance of Malware Detection Classifiers Using Hardware Performance Counters
- Vulnerabilities, Secrets and Misconfiguration in the Highest-Exposure Docker Hub Images
- Sphere Retraction Normalizations
- Dominant Arm Identification with Mixing and Recycling Observed Samples
- Measuring Product Quality Using Images: The CLIP Q-Score and an Application to Real Estate
- Celty: SpMSpV GPU Kernel and SIMT Co-Design for Efficient Dual-Sparse LLM Inference
- ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation
- Gram-Space: Structure-Preserving Codebook Compression for Memory-Efficient Neuro-Symbolic AI
- MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning
- UCBound-Net: Uncertainty-Guided Boundary-Aware Continual Learning for Domain-Incremental Ultrasound Segmentation
- Rolling Shutter Camera Self-Calibration
- Rapid Embodiment Adaptation for Quadrupedal Locomotion
- Stochastic Sequential Search in Very-High-Dimensional Feature Selection
- Probing the 3D Object-Level Understanding of Pre-Trained Detection Transformers
- GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization
- BiKAN: Restoring Collapsed Basis of Binary Kolmogorov--Arnold Networks
- Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval
- Sweet Little Lies: Strategic Deception in AI Emotional Support Chatbots
- Plasticity of Growing and Elastic Neural Networks in Online Continual Learning
- Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning
- VGER: Voxel-Guided Global Event Ranking for Event Cloud Attribution
- Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
- Conformalized Large Language Models under Configuration Shift
- Clear-Weighted Bit Allocation for Satellite Downlinks
- Long-Horizon Embodied Decision-Making via Multimodal Memory Compression
- How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
- DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration
- Same violence, different answer: how AI responds to coercive control against women across languages
- Statistical Mechanics of Learning on Product Wasserstein Manifolds
- A New Theory of Value for Post-AGI Economics
- PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design
- MRAFnd: Multimodal Retrieval-Augmented Framework for Zero-Shot Fake News Detection
- PackingGPT: 3D Packing Agent for Real Furniture in Last-Mile Delivery
- Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization
- Scoring Rules! Statistical and Strategic Alignment for Text Evaluation Metrics
- Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforcement Learning
- GenTrack: Physical Alignment for Robot-Native Motion Generation and Zero-Shot Humanoid Tracking
- When Retrieval Helps and Distracts: Evaluating Evidence-Generating LLMs for Biomedical Claim Verification
- Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images
- TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction
- Language Equality has a Price: A Systematic Investigation of Multi-turn LLM Performance for EU-24+
- FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision
- KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval
- Coordinate Optimality Reformulation for Mixed-Integer Convex Programs with Indicators
- An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules
- When May a Model Replace the Experiment? Audits, Licenses, and the Price of Trust in Surrogate-Driven Design
- CraftAlign: Feature-Grounded Evaluation and Revision Guidance for AI Stories
- Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion
- Imprecise Belief Fusion Improves Multi-agent Social Learning
- High-Stakes Decisions with Language Models: Insights from Emergency Triage
- Do Neural Networks Really Beat the Curse of Dimensionality? A Bit-Complexity View
- Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer
- CORTIVA: Candidate-Score Fusion of Complementary Visual Teachers for EEG- and MEG-to-Image Retrieval
- Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference
- Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection
- Agentic Stage-One Stellarator Optimization: Autonomous Multi-Objective Search for Finite-Beta Equilibria
- DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation
- 402Pilot: An x402 Decision Layer for Autonomous Agent Micropayments
- Driver2Map: Imitating Human Driving for Online High-Definition Map Construction
- Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data
- SphereVideo: Prototype-anchored Hyperspherical Boundary for Continual AI-generated Video Detection
- A Statistical Framework for Data-Driven Discovery of Differential Performance in Clinical Risk Prediction Models
- Context Compaction Theory
- G-ReAct: Graph-Guided Deep Search via Structure-State Co-Evolution
- Can Language Models Identify Shadow Trading Targets? An NLP Evaluation of SEC Enforcement Theory
- BiCAA: Bidirectional Credit Assignment for Search-Augmented Agent
- Dense Language Generation Made Simple: Deterministic, Randomized, and Multi-Order Algorithms
- Sheaf-theoretic Signal Processing on Graphs: Spectral Theory, Filtering, and Sampling
- RH-RAG: Trustworthy Long-Form Generation for Privacy-Constrained Settings
- SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents
- Beyond Symmetric Fusion: Exploiting Task-Dependent Modality Strengths for RGB-Event Small Object Detection
- Ranking Infrared-Visible Fusion the Way Humans Do: A Learned Pairwise Preference Measure
- ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification
- FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting
- TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion
- Active Regression for Single-Index Models with Unknown Link Functions
- Riemannian Attention Mechanisms for Transformers: A Theoretical Framework and Architecture Design
- Latent Softmax for Data-Efficient Phoneme-Based Multilingual ASR Across Tonal and Non-Tonal Languages
- Astrolabe: Spherical-Map Guidance Across Diffusion Pipelines for Full-Body Capture from Unconstrained Images
- How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule
- Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test
- AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
- DeltaFlow: Noise-Adaptive Bidirectional Gated Delta Networks for Embedded Language Flows
- CT-PrepAgent: Bounded Policy and Controlled Execution for Adaptive CT Data Preparation
- From Forest to Future Capital: Tracking Land Cover Change in Ibu Kota Nusantara (IKN) from 2021 to 2026 with PlanetScope Imagery
- Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap
- Amortizing the Calibration Triple: A Projection-Consistent Neural Operator for Local-Stochastic Volatility
- ShiJianBench: From Dialogue to Decision for Long-Horizon Evaluation of Investment Advisors
- Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction
- Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory
- Hybrid Quantum Neural Networks: Theory, Implementations, and Applications
- Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development Races
- QuerySplat: Decoupling Geometry and Appearance Representations in 3DGS Prediction
- SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation
- Co-evolution of social reward and punishment under institutional interventions
- Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels
- Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media
- Interpretable Machine Learning for Traffic Congestion Prediction: Unveiling the Impact of Different COVID-19 Periods
- DynActiveGS: Active Gaussian Splatting for Dynamic Scene Reconstruction
- When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media
- Does Machine "know" interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discourse
- Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation
- Differentiable Lifting for Topological Neural Networks
- PlainMedScale: A Corpus of Multi-Level Simplified Medical Texts in German and English
- InteracVid: Building a Real Interactive Audio-Visual Response Dataset from Live-Chat Videos
- Morphology Aware Reversible Semantic Tokenization and Hierarchical Word Composition for Tamil Language Models
- Learning-Based Stochastic Optimal Control with Infinite-Horizon Probabilistic Constraints
- UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering
- EulerLoRA: Rank-Driven Jump Dynamics for Calibrated Parameter-Efficient Fine-Tuning
- When Do Surrogate Updates Improve Decisions? A Local Theory of Trajectory-Wise Transfer
- FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity
- MA-HEAD-Net: Adaptive Rule-Guided Multi-Agent DRL for AoI Minimization in UAV-Assisted Emergency Networks
- CoT-Edit: Let CoT Guide Instruction Video Editing
- Fighting Fire with Fire: On the Feasibility of Protecting Exercises Against AI Cheating
- SG-Layout: Structured Scene Graph-Guided Layout Generation with LLMs
- From Patches to Evidence Balls: Class-Conditioned Evidence Retrieval for Few-Shot Whole Slide Image Classification
- SSR: Similarity-Shift Refinement for Training-Free Object-Centric Masks
- FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices
- Inter-Residue Geometry Attention for Antibody-Specific Epitope Prediction
- Factorized AdaBoost.MH Achieves the Same Convergence Rate as AdaBoost.MH
- Breaking Diversity Collapse in Spiking Pseudo-Ensembles for Efficient OOD Detection in Remote Sensing
- Role-Decoupled Attention Residuals: Separating Matching and Content Retrieval Across Depth
- Logit-Origin Centering for Singleton Test-Time Adaptation
- PlantRig - From Bones to Branches: Adaptation of Autoregressive Rigging Models for Plant Skeletal Reconstruction
- Sharp Characterization of Bias in Post-Bandit Inference
- ReACT-CLIP: Response-Aware Test-Time Defense for Vision--Language Models
- Extended KAFR: A kinematic-adaptive paradigm for the efficient analysis of surgical video
- Struct-GStream: Towards Efficient Free-Viewpoint Video Streaming at Low-Bitrates with Structured 3D Gaussians
- DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text
- On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
- Using Lower-Bound Representations for Trajectory Similarity Learning
- Opt.Gear Technical Report
- CallScreenBench: Benchmarking Small Language Models as Phone Secretaries
- The Fourth Quadrant: A Stylized View of Benign Misfitting
- VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks
- Stress-Relief Annealing: Polynomial-Time Simulation-Free Layout Optimization for Automated Warehouses
- Caliber: Cross-Architecture Extraction-Cost Control for Score-Returning APIs
- Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking
- KING: Embodiment-Aware Kinematic Graph Neural Network for Unified Motion Representation of Legged and Wheeled Robots
- MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models
- Fused Bayesian Flow Networks for Dual-Target Molecular Design
- Hierarchical Solomonoff Induction: An Unbounded Machine Learning Model
- Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets
- Entity-Faithful Repair of Synthetic Supervision for Zero-Shot Image Captioning
- SCHEDBench: A Benchmark for Evaluating LLM Constraint Faithfulness in Natural-Language Combinatorial Scheduling
- Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
- Understanding and Overcoming Cross-modal Fusion Bias in Multimodal Anomaly Detection From A Fisher Information Perspective
- Beyond Gene Reconstruction: Learning Cell Representations through Complementary Transcriptomic Views
- Unsupervised Multidomain Approaches to Named Entity Recognition with Small Datasets
- Passing Coarse Marginal Checks Can Be Cheap: Persona Mixtures and Imprecise Treatment-Response Estimates in an LLM Persona Panel
- Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models
- An AI Approach to Verified Production Cryptographic Libraries
- PMMC: Prospective Multimodal Memory Compilation for Long-Term LVLM Agents
- The Epistemic Politics of AI Anthropomorphism
- Interpretable machine learning for predicting splitting strength of asphalt concrete: insights from SHAP analysis
- Swimm3R: Splatting with Medium-aware SfM for Underwater 3D Reconstruction
- Data-Driven Pinball-Loss Selection for Vertically Distributed Elastic-Net SVMs
- GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors
- Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks
- Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs
- xMICD: Explainable Representation of Multiple ICD Codes
- Gaokerena: A Small Persian Medical Language Model Family
- Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking
- Subtype Robustness Is Not Just Accuracy: Calibration Under Unseen Subtype Shift
- Look Up and Look Back: Hidden Attention and Latent Orientation in a Frozen Foundation Model for Panoramic SLAM
- UpliftBench: Revealing Outcome-Regime and Objective Mismatch in Uplift Evaluation
- FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?
- Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control
- PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos