Papers
Sat 13 Jun 2026
219 papers
- Statutory AI: Aligning Large Language Models With Legal NormsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Director: Accelerating Distributed MoE Serving via Online Proactive Expert PlacementMixture-of-experts → Efficient MoE training and inference systems
- Reward Transport: Property Control in Flow Matching via Noise-Space AlignmentDiffusion models → Flow matching, time series and science +1
- Thinking Out Loud: Real-Time Deception Monitoring in Asymmetric LLM NegotiationsLLM agents and tool use → Financial trading and forecasting agents
- ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG ServicesRetrieval-augmented generation → Generation and context integration
- MemoryVAM: Integrating Memory into Video Action Model for Robot ManipulationWorld models → Embodied and robot world models
- ClayBuddy: A Framework, Evaluation, & Mitigation of Coding Agent FailuresLLM agents and tool use → Software engineering coding agents
- Stochastic Thermodynamics and SDE-based Generative ModelsDiffusion models → Diffusion foundations and sampling
- Securing Multi-Agent GIS Systems: Risk Evaluation and Prompt Hardening OptimizationLLM agents and tool use → Agent threats, guardrails and governance
- Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing ModalitiesOffline RL and imitation learning from data → Robot manipulation imitation learning
- ToolMenuBench: Benchmarking Tool-Menu Filtering Strategies for Reliable and Efficient LLM AgentsLLM agents and tool use → Tool learning and function calling
- Frame-Conditioned Moral Computation in LLaMA 3.1-8B-Instruct: A Mechanistic Interpretability Audit of Ethical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI ProductsLLM agents and tool use → Software engineering coding agents
- Ricci-Filtration: Boosting Retrieval-Augmented Generation Reranker to Query-Answer Tasks by Discrete Ricci FlowRetrieval-augmented generation → Generation and context integration +1
- Lesion-DDPM: Lesion-Enhanced 3D Diffusion for MS MRI SynthesisDiffusion models → Medical imaging and segmentation
- Understanding Diversity Collapse in RLVR via the Lens of OvertrainingLLM reasoning → Reinforcement learning for reasoning
- A Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM InferenceMixture-of-experts → Efficient MoE training and inference systems
- PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series GenerationDiffusion models → Flow matching, time series and science
- Defending against Adaptive Prompt Injection Attacks via Reasoning-enabled Task AlignmentLLM reasoning → Reasoning for agents, planning and code +2
- Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft InspectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Pepti-Agent: An AI Agent for Peptide Design and OptimizationLLM agents and tool use → Medical and scientific domain agents
- Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question AnsweringLLM reasoning → Clinical and biomedical applications +1
- From Frames to Temporal Graphs: In-Context Egocentric Action Recognition with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Not All Skills Help: Measuring and Repairing Agent KnowledgeLLM agents and tool use → Agent skill learning and evolution
- Timestep Rescheduling in Diffusion InversionDiffusion models → Inverse problems and image restoration
- Reward Hacking in Language Model Agents: Revisiting AI Safety GridworldsLLM agents and tool use → Agent threats, guardrails and governance +1
- Rethinking the Role of Efficient Attention in Hybrid ArchitecturesLLM reasoning → Test-time compute and efficient thinking
- CoAgent: Concurrency Control for Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- S1-DeepResearch: Beyond Search, Toward Real-World Long-Horizon Research AgentsLLM agents and tool use → Web, search, and research agents
- APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI AgentsLLM agents and tool use → Software engineering coding agents
- DiRecT: Safe Diffusion-Based Planning via Receding-Horizon DenoisingDiffusion models → Diffusion and flow policies for robotics
- Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-PlusLLM agents and tool use → Web, search, and research agents
- CausalDrive: Real-time Causal World Models for Autonomous DrivingWorld models → World models for autonomous driving +1
- Replay What Matters: Off-Policy Replay for Efficient LLM Reinforcement UnlearningLLM safety and security → Machine unlearning
- HoloRec: Holistic Encoding and Interleaved Reasoning for Generative RecommendationLLM reasoning → LLM reasoning for recommendation
- Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel DesignDiffusion models → Discrete and text diffusion
- PPDM: Pixel Puzzling Diffusion Model for Speed and Memory Efficient Volumetric Medical Image TranslationDiffusion models → Medical imaging and segmentation
- Conditional Multi-Event Temporal Grounding in Long-Form VideoMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Forced Deferral: Manipulating Routing Decisions in Multimodal LLM CascadesLLM reasoning → Reasoning for agents, planning and code +1
- Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic MemesLLM reasoning → Reasoning benchmarks and evaluation
- LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent StructureLLM agents and tool use → Agent skill learning and evolution
- HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma ExpansionDiffusion models → Medical imaging and segmentation
- A Formal Framework for Declarative Agentic AI in Business Process AnalysisLLM agents and tool use → Software engineering coding agents
- Acting While Understanding: Asynchronous Semantic-Action Decoupling for Real-Time Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- AI-driven Software Development: A Pragmatic Path to Agentic Development ProcessesLLM agents and tool use → Software engineering coding agents
- MamBOA: State-Space Architecture for Video RecognitionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Trust-Region Diffusion Policies for Massively Parallel On-Policy RLDiffusion models → Diffusion and flow policies for robotics
- Benign in Isolation, Harmful in Composition: Security Risks in Agent Skill EcosystemsLLM agents and tool use → Agent threats, guardrails and governance
- Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space DiffusionDiffusion models → Diffusion foundations and sampling
- Rethinking Implicit Spatial Representation in Visuomotor Policy LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-CallLLM agents and tool use → Educational agents and math problem solving
- Comparing Human Gaze and Vision-Language Model Attention in Safety-Relevant EnvironmentsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Keep It in Mind: User Centric Continual Spatial Intelligence Reasoning in Egocentric Video StreamsLLM reasoning → Spatial and embodied reasoning
- Adaptive Inference-Time Scaling via Early-Step Latent Verification for Image EditingLLM reasoning → Multimodal reasoning
- CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document IsolationRetrieval-augmented generation → Privacy and security of RAG
- Coordinated Scheduling for MoE LLM ServingMixture-of-experts → Efficient MoE training and inference systems +1
- Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- VLALeaks: Membership Inference Attacks against Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks +1
- GeoStream: Toward Precise Camera Controlled Streaming Video GenerationWorld models → Video-generation world models and simulators
- DLWM: Diverse Latent World Models for Efficient Multimodal ReasoningWorld models → World models for language agents +2
- Exploring a Layer-Wise Design Space for KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- Can Agents Read the Room? Benchmarking Visual Social Intelligence in Multimodal SimulationLLM agents and tool use → Multimodal and embodied agents
- EChO-Agent: Evidence Chain Orchestration Agent for Audio ReasoningLLM reasoning → Audio-language model reasoning
- Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI EvaluationLLM reasoning → Prompting and chain-of-thought reasoning
- Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded ReasoningLLM reasoning → Time series reasoning +1
- Think Less, Act Early: Reinforced Latent Reasoning with Early Exit in Vision-Language-Action ModelsLLM reasoning → Spatial and embodied reasoning +2
- AdaMame: A Training Recipe for Adaptive Multilingual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter ScaleLLM reasoning → Reasoning for agents, planning and code +1
- Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial EvaluationLLM agents and tool use → Multimodal and embodied agents +1
- Stop When Further Reasoning Won't Help: Attention-State Adaptive Generation in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- AutoDojo: Adaptive Black-Box Attacks Reveal the Limits of IPI Defenses and Task-Specification Effects in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Temporal Difference Learning for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- OSGuard: A Benchmark for Safety in Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric PositionWorld models → World models for navigation
- Beyond Raw Transcripts: Structured Persona Extraction for LLM-Based Digital Twins
- Bankruptcy Prediction via Hybrid Resampling and Stacking Ensemble Techniques with Explainable Artificial Intelligence (XAI)-Driven Analysis
- Beyond Tracking or Shortcut: Composition-Bounded Predictive States in Poker Autoregressive Models
- Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning
- Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networks
- TAKE: Trajectory-Aware Knowledge Estimation for Text Dataset Distillation
- ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification
- Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices
- DaDaDa: A Dataset for Data Pricing in Data Marketplaces
- HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
- LieBN: Batch Normalization over Lie Groups
- A UAV-Based Multi-Modal Vision System for Automated Sideslope Deformation Monitoring and Hazard Detection
- Beyond ROC-AUC: Operating-Point Performance Reporting for Biometric Verification
- Diagnosing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
- Towards Data-Efficient Cross-Device Generalization of Grad-Shafranov Equilibria via Transfer Learning Neural Operator
- AthDGC: An Open Diachronic Greek Treebank with Indo-European Parallels
- LLM4RTL: Tool-Assisted LLM for RTL Generation
- Model Stealing Through the Lens of Model Multiplicity
- ST-DiffEye: Diffusion-based Continuous Gaze Generation via Joint Scanpath-Trajectory Modeling
- Evaluative Judgement in Teaching AI-based Translation: A Class-room Case Study of AI-Mediated Translation and Post-Editing
- Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously
- Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelines
- Analyzing Visual Aircraft Representations with Sparse Autoencoders
- ESBMC-PLC: Formal Verification of IEC 61131-3 Ladder Diagram Programs Using SMT-Based Model Checking
All 219
- Structured Nonparametric Variational Inference for Dependent Latent Modeling
- Transfer Learning for FHIR Questionnaire Terminology Binding
- Hierarchical Modeling of ICD Codes in EHR Foundation Models
- A Conservation Law for Equilibrium Propagation and Coupled Learning
- Coercivity and Local Convergence of Physical Learning in Linear Circuits
- The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling
- Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Models
- Constitutional Value Potentials: reading and steering internal priority margins in language models
- Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction
- Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
- Segmentation-based Detection for Efficient Multi-Task Spacecraft Perception
- T-Mem: Memory That Anticipates, Not Archives
- Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces
- A Compositional Framework for Open-ended Intelligence
- Learning Earthquake Wave Arrival Time Picking from Labels with Inaccuracies
- MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation
- Repeated Bilateral Trade: The Quest for Fairness
- Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories
- ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics
- Sustainable Face Recognition on Low-Power Devices with VQ-VAE Embeddings
- Chroma-gated, differentiable OKLCH interpolation: Continuous Oklab fallback for color-cast reduction
- Facial Affect Analysis for Service-Oriented Systems: Advances, Challenges, and Future Visions
- LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization
- Intrinsic Computational Functionalism and Simulated Consciousness
- DYNA-PRUNER: Input-Adaptive Data-Model Co-Pruning for Efficient and Scalable Spatio-Temporal Media Prediction
- Generative modelling powered by room-temperature polariton condensates
- Privacy-Preserving Text Sanitization for Distributed Agents Collaboration via Disentangled Representations
- Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures
- SGFormer++: Semantic Graph Transformer for Incremental 3D Scene Graph Generation
- Prior over Evidence: Stereotype-Driven Diagnosis in LLM-Based L2 Pronunciation Feedback
- ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing
- LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction
- CoMNet: A MedNeXt-CorrDiff Framework for Multi-Site Brain Tumor Segmentation
- Discovering Lattice Reduction Strategies via Self-Play
- CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?
- Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction
- G2IA: Geometry-Guided Instance-Aware Retrieval and Refinement for Cross-Modal Place Recognition
- Decoupled Motion Representation Learning for Moving Infrared Small Target Detection
- CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
- Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability
- Rethinking Structural Anomaly Detection: From Decision Boundaries to Projection Operators
- RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
- Improving Federated Graph Recommendation with Semantic Guidance
- Feature Attribution in Directed Acyclic Graphs Using Edge Intervention
- Dual-Network PINNs for Optimal Control: A Reproducible Benchmark on the Mass-Spring-Damper System
- When to use what Schatten-p norm in deep learning?
- Evaluating and Preserving Lexical Stress in English-to-Chinese Speech-to-Speech Translation
- Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion
- Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
- AI for Social Good: An Investigation of the Causal Relationship Between Environmental Regulations and Their Effects on Air Pollution in London, UK
- Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
- Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility
- Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs
- Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
- Provenance-Enhanced Statements in Knowledge Graphs
- M-CTX: Exact and Scalable Spatial Context Retrieval for Trajectory Analytics
- SPARK: Spatial Policy-driven Adaptive Reinforcement learning for Knowledge distillation
- EnvShip: A Unified Framework for Context-Aware and Cross-Region Vessel Trajectory Forecasting
- HairLRM: Strand-based Hair Modeling via Large Reconstruction Models
- Optimized Sequential Testing for Binary Ensemble Classifiers
- Surrogate-Assisted Framework for SI-Compliant Interconnect Design Optimization Using the Earth Mover's Distance
- Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
- Conformal Candidate Certification for Offline Model-Based Optimization
- Spokes: Optimizing for Diverse Pretraining Data Selection
- Quantum-classical hybrid models based on error correction for time series forecasting
- Attribute Inference from Interactive Targeted Ads
- Controlled Dynamics Attractor Transformer
- AI Contagion in Social Networks
- A Koopman-PINN Framework for Epidemic Models: Parameter Inference and Forecasting
- CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services
- City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery
- StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling
- AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
- FreeSonic: Training-Free Temporal-Aware Decoupled Attention for Precise Audio Editing
- Enabling Real-Time Point-of-Care Ultrasound Segmentation: A GPU-Free Deployment in Resource-Limited Settings
- Towards a Unified Generative Model for Scarce Time Series with Domain Experts
- Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data
- Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective
- RefGC-SR2: Reference-guided Super-Resolution and Refinement of AI Generated Content
- Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains
- False Sense of Safety in Selective Signal Classification: Auditing Bound Tightness and Exchangeability for Risk Control
- HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification
- MimicIK: Real-Time Generative Inverse Kinematics from Teleoperation with FK Consistency
- Contextual Bandits for Maximizing Stimulated Word-of-Mouth Rewards
- PACUTE: Phonology-, Affix-, and Character-level Understanding of Tokens for Filipino
- MotionVLA: Vision-Language-Action Model for Humanoid Motion
- Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
- DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects
- EyeMVP: OCT-Informed Fundus Representation Learning via Paired CFP--OCT Pretraining
- Data-Centric Benchmarking of Exploit Generation in LLMs: Understanding the Impact of Fine-Tuning
- When Cognitive Graphs Meet LLMs: BDEI Cognitive Pathways for Panic Emotional Arousal Prediction
- Multi-view feature High-order Fusion for Space Weak Object Detection and Segmentation
- Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection
- Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning
- Learn Temporal Consistency For Robust Satellite Video Detector
- Physics-Driven Zero-Shot MRI Reconstruction with Non-local Image Priors
- Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space
- VGPT-RSI for RH-Adjacent Formal Progress: Boundary Certificates, Verified Finite Lagarias Inequalities, and Explicit Failure Localization
- High-Dimensional Random Projection for Activation Steering in Language Models
- Sensory Restoration via Brain-Computer Interfaces: A Scoping Review
- When the Same Musical Knowledge Forgets Differently: A Clean Probe of Pathway-Dependent Forgetting
- An Integrable Token Mixing Layer from the Generalized Yang Baxter Equation
- Cognitive Debt: AI as Intellectual Leverage and the Dynamics of Systemic Fragility
- TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation
- Texture-Shape Bias Balancing for Robust Synthetic-to-Real Semantic Segmentation in Automotive NIR Imagery
- CoCoGEC: Counterfactual Generation for Robust Grammatical Error Correction
- Phase-Localized Curation Does Not Help: A Negative Result on Per-Phase Metric Selection for Demonstration Filtering
- A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation
- Machine Learning and the Random Walk Puzzle: Forecasting the CAD/USD Exchange Rate with Expanding Window Evaluation and SHAP Interpretability
- Bridging Geographic Bias in Urban Streetscape Inference via Lifelong Learning with Visual-Semantic Pivoting
- Size Doesn't Matter: Cosine-Scored Sparse Autoencoders
- Physics-conforming Latent Twins
- PANDA: An LLM-Enhanced Performance-Driven Analog Design Framework Bridging Design Intent and Layout Generation
- Gaussian Spatial Priors for Anatomy-Aware Object Detection in Surgical Videos
- Equity with Efficiency: An Empirical Study of Tokenizers for Multilingual Large Language Models
- Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling
- ReportQA: QA-Based Radiology Report Evaluation
- Transformers Learn the Mestre-Nagao Heuristic
- Cloze: An Open Research Platform for Studying Human-AI Conversations in Mental Health Contexts