Papers
Sun 6 Sep 2026
213 papers
- Mitigating LLM Over-Refusal via Dynamic Semantic Routing CalibrationLLM safety and security → Safety alignment, refusal and guardrails
- Teaching a Moving Student: Rethinking the Curriculum of On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- RS-Claw-Evolution: Environment-Feedback-Driven Evolution for Lightweight Remote Sensing Agents in Long-Horizon TasksLLM agents and tool use → Multimodal and embodied agents
- DIPLOMAT: Dialogue-Span-Aware Direct Preference Optimization for Polite Persuasive Workplace Negotiation DialoguesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and SimulationsLLM agents and tool use → Social simulation and multi-agent debate
- Teacher Should Think Ahead: Adaptive Continuations for Reliable On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM CollaborationLLM agents and tool use → Social simulation and multi-agent debate
- TryOnReward: Learning Foveated Consistency for Reinforcement Fine-Tuning of Virtual Try-OnLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world modelsWorld models → Video-generation world models and simulators +1
- The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the MeanLLM agents and tool use → General LLM agent frameworks and benchmarks
- AgentHijack: Visual Patch Attacks on Multimodal Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Identifying Habit, Physics, and Nuisance in Robot World ModelsWorld models → Embodied and robot world models
- AutoLexSteer: Automatic Contrast Construction for Lexical Activation SteeringMechanistic interpretability → Activation steering methods
- Feature Superposition in Neural Networks: From Theory to PracticeMechanistic interpretability → Sparse autoencoder training and evaluation
- Characterizing Contention-Induced Reliability Collapse in KV-Cache Timing Side Channels for Multi-Tenant LLM ServingEfficient LLM inference and serving → KV cache optimization
- ContextFlow: In-Context Flow Matching for Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- BinauralVAE: Spatial Audio Reconstruction For World ModelsWorld models → Video-generation world models and simulators
- Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural ModelingLLM agents and tool use → Software engineering coding agents
- NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global CulturesLLM reasoning → Multimodal reasoning
- Diagnosing and Dynamically Filtering Occupancy World Models for Active MappingWorld models → World models for autonomous driving
- Typed Federated Artifacts for the Agentic Web:Sharing Tool-Routing Knowledge Across Frozen,Heterogeneous LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Improving Proficiency and Efficiency of Android GUI Agents via Self-Generating Tool ActionsLLM agents and tool use → GUI and mobile agents
- When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular DataLLM safety and security → Machine unlearning
- AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent TrajectoriesLLM agents and tool use → Agent threats, guardrails and governance
- Shortcutting the Fix: Identifying and Categorizing Agentic Exploits in Software Engineering BenchmarksLLM agents and tool use → Software engineering coding agents
- DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug RepurposingLLM reasoning → Clinical and biomedical applications
- Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments?LLM reasoning → Reasoning for agents, planning and code
- LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target DiscoveryDiffusion models → Diffusion foundations and sampling
- Agentic Visual Generation: From Generative Models to Agentic ControlLLM agents and tool use → Multimodal and embodied agents
- Reason Through the Latent! Making Latent Visual Reasoning NecessaryLLM reasoning → Multimodal reasoning
- Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour SegmentationKnowledge distillation → Distillation for medical imaging
- RoLA: Rotary-Positioned Low-Rank Linear Attention for Efficient Diffusion TransformersDiffusion models → Video generation
- A Trustworthy Watermarking Framework for LLM-Generated Food Safety ContentLLM safety and security → Watermarking generated content and models
- Counterfactual Tests for Measuring Chain-of-Thought Faithfulness in Visual Language ModelsLLM reasoning → Multimodal reasoning +1
- PARSER: Read in Parallel, Reason in Depth for Long-Context LLM AgentsLLM agents and tool use → Agent memory systems
- Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor TreatmentOffline RL and imitation learning from data → Imitation learning methods +1
- TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal EstimationDiffusion models → 3D, point cloud and scene generation
- ECOKV: Geometry-Aware KV Cache Eviction via Complementary Diversity MetricsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity ExplorationDiffusion models → Diffusion foundations and sampling +1
- Inducing Emergent Misalignment from Reward Hacks with Iterative DPOLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- MemCorr-DP: Counterfactual Correspondence Conditioning for a Diffusion Policy Guided by a ReferenceDiffusion models → Diffusion and flow policies for robotics
- MechAudit-40: White-Box Auditing across 40 LLM Attack MechanismsLLM safety and security → Prompt injection and agent security
- Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action ModelsWorld models → Embodied and robot world models +1
- A Translational Note on AI Safety EvaluationLLM safety and security → Prompt injection and agent security
- MARBO: Relational Belief Grounding for LLM Agents in Social Deduction GamesLLM agents and tool use → Reinforcement learning for LLM agents
- EStream: Fast and Memory-Efficient MoE Prefill through Expert Virtualization on Mobile NPUsMixture-of-experts → Efficient MoE training and inference systems
- SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent ExposureLLM safety and security → Jailbreaking
- 3DHarnessBench: Probing Agentic 3D-to-Code Capabilities of Frontier Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Selective Knowledge Control for Continual GUI Agent Learning over Application StreamsLLM agents and tool use → GUI and mobile agents
- VLA-Corrector: Stage-Aware Observable State Understanding for Prompt-Based Closed-Loop Recovery of Vision-Language-Action PoliciesVision-language-action models → Failure recovery and robustness
- CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive QueryingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- CAPMAS: Capability-Based Delegation of Privileges in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- DFlow: Enabling Verifier Information Flow in Block Diffusion Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Diffuse2Seg: Diffusion Models Can Segment Anything Without SupervisionDiffusion models → Medical imaging and segmentation
- OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super ResolutionKnowledge distillation → General knowledge distillation methods
- Thinking with Cameras: Active Visual Reasoning via Dynamic Viewpoint Control for Surveillance Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Steering Under Compression: Dose-Response, Capability Cost, and Failure Asymmetry in Quantized LLMsMechanistic interpretability → Steering and interpreting LLM reasoning
- One Step, One Lead: Mitigating Higher-Order Interference in Multi-Domain Reinforcement Learning via Cross-Step ControlLLM reasoning → Reinforcement learning for reasoning +1
- Local and Global Stability in Performative Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Causal Attribution for Agentic Decisions: Estimators, Coupling, and a Traceability SpecificationLLM agents and tool use → Software engineering coding agents
- InsightChain: Optimized Chain-of-Insight Analytics for LLM-driven Data VisualizationLLM reasoning → Multimodal reasoning
- On BatchNorm Forward Modes in Value-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Separating Capability from Confidence: Grounded Dual-State Calibration for GRPO-Trained Medical Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Visual Search Augmented Chain-of-Thought Reasoning for Attribute Value Extraction from Product VideosLLM reasoning → Multimodal reasoning
- From Concentration to Differentiation and Back: Routing Effective Rank in MoE Reasoning CohortsLLM reasoning → Test-time compute and efficient thinking +1
- Building Trustworthy Graph-Agentic RAG for Social Good: Architectures, Failure Propagation, and Assurance by ConstructionRetrieval-augmented generation → Agentic RAG, agents and memory +1
- LANTERN: A Closed-Loop Benchmark for VLM-Based Cooperative Driving with Temporally Grounded WarningsEnd-to-end autonomous driving → Cooperative and V2X driving
- Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal PredictionLLM agents and tool use → General LLM agent frameworks and benchmarks
- NOVA: Normal-Side Modeling for Training-Free Zero-Shot Video Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective RecoveryMixture-of-experts → Mixture of LoRA experts
- A Ticket from Marginals to Joints: Coupled-Noise Distillation for One-Step Block Generation in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- FrankenReport: Early Exiting in Long-Form Generation Using Expected Value of ComputationEfficient LLM inference and serving → Efficient reasoning and agent inference
- "very likely" Means "uncertain"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification
- Self-Cleaning and Captured Anyway: One Measured Primitive for Error in a Store an Agent Writes to Itself, and What a Falling Score Actually Measures
- LLM-Driven Training-free Location-Attribute Synergic Fusion: A Closed-Loop Paradigm for Dual-source Encrypted POIs and LULC Mapping
- FrontierMath ErdHos
- AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree Search
- Used, Mentioned, or Condemned? A Controlled Contrast-Set Diagnostic for the Use-Mention Distinction in Code-Mixed Hinglish Misogyny Detection
- Causal Localization of the Refusal Direction in Audio Language Models
- Which Part of the Context Layer Does the Work? Separating Semantic Content from Retrieval Scaffolding in Text-to-SQL Agents
- Strategy Accumulation and Guided Execution for Automated LLM Fine-Tuning
- CAMFT: Conflict-Aware Mergeable Fine-Tuning for Large Language Models
- CALM: A Calibrated LLM Choice Network Framework for Activity-Based Traveler Simulation
- Predictors and Orchestrators: Parsimonious Machine Learning within an Agentic AI Harness for Multi-Horizon Karst Aquifer Forecasting
- Filling the Unseen: Scene Extrapolation via 3D Gaussian Splatting
- From Masking to Merging: Rethinking SpecAugment for Efficient Audio Spectrogram Transformer
- Interpretable Temporal Video Reasoning with EventGraph and EventField
- A Comprehensive Review of Multimodal Facial State Analysis: Tasks, Methods, and Resources
- (How) Do MLLMs Report Bistable Images Like Humans?
- Halo: Improving forecast accuracy through heteroscedastic estimation
- Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement
- Geometry Conditioning in an Embodied SLM: Training Controls and Robustness Diagnostics in a 0.8B Hybrid Model
- A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
- Novel Methods for Catheter and Guidewire Segmentation in X-ray Fluoroscopy under a Federated Learning Setting
- MedGSSR: Generalizable Medical Image Super-Resolution 3D Reconstruction via Hierarchical Feed-forward Gaussian Splatting
- Large Classification-Risk-Optional Label Acquisition
- Exact Record Omission in Delta Attention: A Transport Criterion, Its Cost, and a Replay Certificate
- Organization of Valence and Arousal in Vision-Language Representations of Built Environments: Insights from the EMOIS Dataset
- PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation
- Cluster-Based Dimensionality Reduction by Nonparametric Distributional Screening
All 213
- You Are What You Read: Misalignment via In-Context Persona Induction
- Learning transferable human physiology from two million hours of sleep with SleepFM-2
- RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition
- XYBench: Can LLMs Respond Pragmatically to Queries with Misconceptions?
- WAPP: Safe Learning of Positive Security WAF Policies from Live Traffic
- A Shared-Backbone Approach for Multi-Task MedMNIST Classification
- Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification
- Formation of structural attractors in neuromorphic systems
- Generalist Open-World Temporal Perception
- Unsound Search with Policy and Value Networks in Legends of Code and Magic
- Measuring GEO Visibility: Prompt Corpora Define the Answer Market
- Disparity Has a Sign: Stereo Matching Beyond the Zero-Disparity Plane
- Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI
- Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
- Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators
- When Speech Meets Lips: Interpretable Audio-Visual Synchronization for L2 Pronunciation Assessment
- Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection
- NEO-BENCH: A New Multi-Source Benchmark for Generalizable Astronomical Streak Detection
- CAROL: Context-Aware Online Learning for Fuzzer Scheduling
- AuthBench: A Large-Scale Multilingual Benchmark for Authorship Representation across Genres and Lengths
- A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs
- Simulating the Marginal Green Contribution of AI Modules in a Smart-Agriculture Platform: Evidence from Two Monte Carlo Experiments
- Monte Carlo-Based Ex-Ante Assessment of the Green Benefits of an AI-Driven Smart Agriculture Platform in Hainan
- LASSNet: Level-Aware Availability-Conditioned Spatial-Semantic Fusion for Brain Tumor Segmentation with Missing MRI Modalities
- Event Interaction in Low-Rank Bottlenecks for Temporal Relation Extraction
- Back to the Feature: Zero-Shot 6DoF Pose Estimation via Dense Local Features
- ADELE - Adaptive Delaunay Grids for High-Fidelity Mesh-Native Reconstruction
- Companion-style QA Assistance in Ego-Vision
- We Built a Mirror and Mistook It for a Mind: Causal Liability and the Fallacy of AI Consciousness
- DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents
- Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection
- A Grapheme-Aware Indic Tokenizer for Tamil: Large-Scale Training and Intrinsic Evaluation
- Likelihood-Based Unsupervised Anomaly Detection in CMS Dijet Events
- RoPE attention is an exact forward-pass gradient step with softmax intact
- Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces
- Tracking the Moving Frontier: Long-Short Term Advantage Estimator
- Data Efficient Sample Selection for In-Context Learning
- Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach
- EviMap: Evidence-Grounded Hierarchical Topic Maps for Exploring Unlabeled Corpora
- FSAN: Flow State Attention Network for Aerodynamic Prediction
- Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model
- A Computational Implementation of a Goal-Directed Theory of Affect
- VidaForge: Open Research Infrastructure for Video Pretraining Data Recipes
- SerenAI: State-transition system inspired by text-based world AI models
- When Does a Laugh Begin? Structured Annotator Disagreement in Temporal Laughter Localization
- MARR: Decoupling Policy, Execution, and Calibration for All-in-One Medical Image Restoration
- TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
- RGB Input Pipelines: Throughput, GPU Memory, and Transformation Coverage
- Mind the Gap: Exposing LLM Translation Blind Spots Using the AlphaMWE Multilingual Parallel Corpus
- Physico-Geospatial Grounded Scene Interpretation for Mobile Robotics
- GeoCo-SAVi: Geometry-Consistent Slot Attention for Explicitly Editable Object Representations
- CAVEAT: Recurrent Multimodal Diffusion Planning for Mapless Aerial Exploration
- GAN-Blot: A Controllable Structure-Style Synthesis Benchmark for Western Blot Forensics
- SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narratives
- A Statistical and Machine Learning Framework for Quantifying Offensive Impact in Professional Box Lacrosse
- Multi-History-Step SDE Inversion for Image Editing with Superior Regional Awareness
- Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
- Discovering Translation-Worthy Languages with E-Values
- Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier
- Certifying cooperation: a novel approach to cooperative multi-agent task generation
- Reading Decoder Trajectories: Training-Free Counterfactual Query-Trajectory Reliability for Small-Object Detection
- Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption
- A TTP by TTP Approach: Precise Malware Detection via Malicious TTP Recognition
- Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity
- Introductory Notes on Learning2
- LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages
- A Unified Policy Architecture (UPA): The Governance Kernel for Enterprise AI Operating Systems
- Recovering topological information of light by topological learning
- ProcArena: A Multi-Scenario Benchmark for LLMs on Direct and Interactive PL/SQL Development from Natural Language
- Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks
- Role-Specific Predictive Geometries for Nonstationary Multivariate Graph-Signal Forecasting
- Model-Adaptive and Risk-Constrained Frequency Hopping Against Predictive Jammers
- Bi-HYCO: Bi-Objective Cooperative Learning for PDE Parameter Identification under Fragmented Observations
- A Cloud-Based Hybrid Model for Real-Time Detection of BRTA-Approved Licence Plates Using YOLO Tiny and Haar Cascade
- Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning
- Vision-Guided Text Prompt Tuning for Multimodal Sentiment Analysis
- Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search
- Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
- How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration
- One MLLM, One Call: Efficient Zero-Shot Vision-and-Language Navigation via Spatial-Aware Waypoints
- Learning Kernels by Alignment for Multiclass Bayes Classification
- A Group-Based Resource Allocation Model for the Fractional Knapsack Problem
- Sector-Mean: Deterministic Initialization of K-Means Centroids via Angular Sector Partitioning
- A Theoretical Framework for Masked Pretraining (MPT)
- Phase-cycled randomized benchmarking of quantum processors: recovering hidden classical noise correlations
- Decomposing LLM-Judge Uncertainty to Target Expert Labels
- Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging
- PLSR: Progressive and Localized Super-Resolution of 3D Objects via Localized Latent Voxel Diffusion
- Collision Snapshot Guided Time-Reversed Safety-Critical Scenario Generation
- Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks
- Sparse Oblique Rule Boosting for Simpler Additive Rule Ensembles
- Hierarchical Wasserstein Merging for Multi-Domain Multi-Task Learning: From Specialists to a Generalist
- MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves
- Beyond Worst-Case Coreset Bounds for k-Clustering via Determinantal Sampling
- Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts
- Scaling 3D Generative Priors to Large-Scale Scene Meshes from Multi-View Images
- Parameterized and Streaming Algorithms for Euclidean Fair k-Center Clustering
- From Reading Code to Reading Spec: A Verified Layer for LLM-Driven Codebase Maintenance
- Recovering Weak Signals with Normalizing Flows
- Cross-Lingual Representation Alignment by Token-Level Optimal Transport in a Language-Agnostic Space
- An Integrated Video-AI Platform for Action-Level Microanastomosis Training and Performance Feedback
- Multi-Grid Post-Training for Long-Form Multi-Shot Video Generation
- DualPathOcc: Dual-Resolution BEV Encoder for 3D Occupancy Prediction
- AutoKD: Autonomous Knowledge Discovery
- AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification
- MSCA-UNet: Multi-Scale Context and Attention U-Net for Image Segmentation
- ChildGaze: A Benchmark Dataset for Collaborative Behavior Understanding in Children
- Radiation, Rotation and Scale Invariant Feature Descriptor for Multimodal Image Matching
- Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression
- One Shared LoRA Weight for MRI Reconstruction across Acceleration Factors
- Query-Oblivious Coresets for Softmax Attention: Improved Bounds and Efficient Constructions
- Deep learning from the crowd Fundamentals of morphological galaxy classification
- Reliability, validity, and diagnostic evidence for multi-model LLM short-answer scoring