Papers
Sat 28 Mar 2026
199 papers
- Safety in Embodied AI: A Survey of Risks, Attacks, and DefensesLLM safety and security → Prompt injection and agent security
- A Reference Architecture for Agentic Hybrid Retrieval in Dataset SearchLLM agents and tool use → Web, search, and research agents
- Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systemsLLM reasoning → Reasoning for agents, planning and code
- Listen, Correct, and Feed Back: Spoken Pedagogical Feedback GenerationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD SurrogatesMechanistic interpretability → Sparse autoencoder training and evaluation
- 3D-IDE: 3D Implicit Depth EmergentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language ModelsLLM safety and security → Jailbreaking
- The impact of multi-agent debate protocols on debate quality: a controlled case studyLLM agents and tool use → Social simulation and multi-agent debate
- SafeClaw-R: Towards Safe and Secure Multi-Agent Personal AssistantsLLM agents and tool use → Agent threats, guardrails and governance +1
- LOME: Learning Human-Object Manipulation with Action-Conditioned Egocentric World ModelWorld models → Embodied and robot world models
- From Tool to Teammate: LLM Coding Agents as Collaborative Partners for Behavioral Labeling in Educational Dialogue AnalysisLLM agents and tool use → Educational agents and math problem solving
- SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Agent-Driven Autonomous Reinforcement Learning Research: Iterative Policy Improvement for Quadruped LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Greedy Is a Strong Default: Agents as Iterative OptimizersLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Residual StreamsLLM safety and security → Safety alignment, refusal and guardrails
- Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- HMPDM: A Diffusion Model for Driving Video Prediction with Historical Motion PriorsDiffusion models → Diffusion and flow policies for robotics
- Inference-Time Structural Reasoning for Compositional Vision-Language UnderstandingLLM reasoning → Multimodal reasoning +1
- D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question AnsweringLLM reasoning → Clinical and biomedical applications
- Supporting Reflection and Forward-Looking Reasoning With Data-Driven QuestionsLLM reasoning → Reasoning benchmarks and evaluation
- Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- EpochX: Building the Infrastructure for an Emergent Agent CivilizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Inference Routing to Agent Orchestration: Declarative Policy Compilation with Cross-Layer VerificationLLM agents and tool use → Agent threats, guardrails and governance +1
- Uni-World VLA: Interleaved World Modeling and Planning for Autonomous DrivingWorld models → World models for autonomous driving +1
- HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCPLLM agents and tool use → Software engineering coding agents
- From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC StudentKnowledge distillation → Distillation for medical imaging
- Mitigating Hallucination on Hallucination in RAG via Ensemble VotingRetrieval-augmented generation → Hallucination detection in RAG
- Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace ProjectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Rethinking Easy-to-Hard: Limits of Curriculum Learning in Post-Training for Deductive ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- LightMover: Generative Light Movement with Color and Intensity ControlsDiffusion models → 3D, point cloud and scene generation
- Autonomous overtaking trajectory optimization using reinforcement learning and opponent pose estimationDeep reinforcement learning methods → RL for autonomous driving and traffic
- MalSkills: Detecting Malicious Skills in the Agentic Supply Chain via Neuro-symbolic ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Understanding and Mitigating Hallucinations in Multimodal Chain-of-Thought ModelsLLM reasoning → Hallucination detection and mitigation
- Let Triggers Control: Frequency-Aware Dropout for Effective Token ControlDiffusion models → Image generation, text-to-image and editing
- AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure DesignLLM agents and tool use → Medical and scientific domain agents
- Incentivizing Temporal-Awareness in Egocentric Video Understanding ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Reasoning-Driven Anomaly Detection and Localization with Image-Level SupervisionLLM reasoning → Chain-of-thought reasoning for driving +1
- MEDIC-AD: Towards Medical Vision-Language Model's Clinical IntelligenceMultimodal LLMs / vision-language models → Medical vision-language models
- MediHive: A Decentralized Agent Collective for Medical ReasoningLLM reasoning → Clinical and biomedical applications +1
- SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually DoLLM agents and tool use → Agent threats, guardrails and governance
- Routing Sensitivity Without Controllability: A Diagnostic Study of Fairness in MoE Language ModelsMixture-of-experts → Expert routing strategies
- The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ScoutAttention: Efficient KV Cache Offloading via Layer-Ahead CPU Pre-computation for LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Red-MIRROR: Agentic LLM-based Autonomous Penetration Testing with Reflective Verification and Knowledge-augmented InteractionLLM agents and tool use → Agent threats, guardrails and governance
- EFlow: Fast Few-Step Video Generator Training from Scratch via Efficient Solution FlowDiffusion models → Video generation
- LightCtrl: Training-free Controllable Video RelightingDiffusion models → 3D, point cloud and scene generation
- When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof TutoringLLM agents and tool use → Educational agents and math problem solving
- Mind The Gap: How The Technical Mechanism Of Agentic AI Outpace Global Legal FrameworksLLM agents and tool use → Agent threats, guardrails and governance
- Structural Graph Probing of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dynamic resource matching in manufacturing using deep reinforcement learningDeep reinforcement learning methods → RL for energy, networks and operations
- ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- VIRST: Video-Instructed Reasoning Assistant for SpatioTemporal SegmentationLLM reasoning → Multimodal reasoning
- Liquid Networks with Mixture Density Heads for Efficient Imitation LearningDiffusion models → Diffusion and flow policies for robotics +1
- Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast India
- Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation
- Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa
- RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895-2025) with a Seven-Decade Core (1957-2025)
- SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills
- Selectivity and Shape in the Design of Forward-Forward Goodness Functions
- Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data
- Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
- On the Spectral Geometry of Cross-Modal Representations: A Functional Map Diagnostic for Multimodal Alignment
- Structured Exploration and Exploitation of Label Functions for Automated Data Annotation
- Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition
- Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets
- Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild
- ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs
- XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation
- ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering
- SkillTester: Benchmarking Utility and Security of Agent Skills
- Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning
- WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
- GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback
- Interpretable Physics Extraction from Data for Linear Dynamical Systems using Lie Generator Networks
- Evaluating Large and Lightweight Vision Models for Irregular Component Segmentation in E-Waste Disassembly
- The Novelty Bottleneck: A Framework for Understanding Human Effort Scaling in AI-Assisted Work
- Improving Attributed Long-form Question Answering with Intent Awareness
- The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
- Mind the Shape Gap: A Benchmark and Baseline for Deformation-Aware 6D Pose Estimation of Agricultural Produce
- AstraAI: LLMs, Retrieval, and AST-Guided Assistance for HPC Codebases
- CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing
- Kempe Swap K-Means: A Scalable Near-Optimal Solution for Semi-Supervised Clustering
- Multiple-Prediction-Powered Inference
- The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK
- Grounding Social Perception in Intuitive Physics
- On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models
- Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
- Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
- Topological Detection of Hopf Bifurcations via Persistent Homology: A Functional Criterion from Time Series
- K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)
- Active In-Context Learning for Tabular Foundation Models
- Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression
- Where Does AI Leave a Footprint? Children's Reasoning About AI's Environmental Costs
- The Risk Quadrangle in Optimization: An Overview with Recent Results and Extensions
- Falcon Perception
- Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance
All 199
- Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation
- Guided Lensless Polarization Imaging
- Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-in-the-Loop Approach
- LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
- Embedding Provenance in Computer Vision Datasets with JSON-LD
- TerraSeg: Self-Supervised Ground Segmentation for Any LiDAR
- WMF-AM: Probing LLM Working Memory via Depth-Parameterized Cumulative State Tracking
- A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
- EVA: Bridging Performance and Human Alignment in Hard-Attention Vision Models for Image Classification
- CounterMoral: Editing Morals in Language Models
- ComBench: A Repo-level Real-world Benchmark for Compilation Error Repair
- Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models
- SACRED: A Faithful Annotated Multimedia Multimodal Multilingual Dataset for Classifying Connectedness Types in Online Spirituality
- Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification
- Multimodal Forecasting for Commodity Prices Using Spectrogram-Based and Time Series Representations
- Retrospective Counterfactual Prediction by Conditioning on the Factual Outcome: A Cross-World Approach
- TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba
- Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence
- MeshTailor: Cutting Seams via Generative Mesh Traversal
- GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
- Self-evolving AI agents for protein discovery and directed evolution
- Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution
- Complet4R: Geometric Complete 4D Reconstruction
- A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX
- Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapes
- Class-Distribution Guided Active Learning for 3D Occupancy Prediction in Autonomous Driving
- Human-Centric Perception for Child Sexual Abuse Imagery
- StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
- Robust Global-Local Behavior Arbitration via Continuous Command Fusion Under LiDAR Errors
- Quantification of Credal Uncertainty: A Distance-Based Approach
- TrackMAE: Video Representation Learning via Track Mask and Predict
- TrendGen: An Outfit Recommendation and Display System
- MD-RWKV-UNet: Scale-Aware Anatomical Encoding with Cross-Stage Fusion for Multi-Organ Segmentation
- Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark
- Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism
- Zero-shot Vision-Language Reranking for Cross-View Geolocalization
- IP-SAM: Rethinking Prompt-Conditioned Segmentation for Prompt-Absent Deployment
- SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration
- SaSaSaSa2VA: 2nd Place of the 5th PVUW MeViS-Text Track
- An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving
- Can pre-trained Deep Learning models predict groove ratings?
- Structural Stress and Learned Helplessness in Afghanistan: A Multi-Layer Analysis of the AFSTRESS Dari Corpus
- NimbusGS: Unified 3D Scene Reconstruction under Hybrid Weather
- EuraGovExam: A Multilingual Multimodal Benchmark from Real-World Civil Service Exams
- HD-VGGT: High-Resolution Visual Geometry Transformer
- Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis
- Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation
- KαLOS finds Consensus: A Meta-Algorithm for Evaluating Inter-Annotator Agreement in Complex Vision Tasks
- Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence
- Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
- Omni-Modal Dissonance Benchmark: Systematically Breaking Modality Consensus to Probe Robustness and Calibrated Abstention
- Hybrid Deep Learning with Temporal Data Augmentation for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries
- MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation
- Communicating about Space: Language-Mediated Spatial Integration Across Partial Views
- An End-to-end Flight Control Network for High-speed UAV Obstacle Avoidance based on Event-Depth Fusion
- MultiLoc: Look Around As You Localize for Fast And Robust Visual Re-localization
- Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
- RiskProp: Collision-Anchored Self-Supervised Risk Propagation for Early Accident Anticipation
- daVinci-LLM:Towards the Science of Pretraining
- Online Learning of Kalman Filtering: From Output to State Estimation
- Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction
- GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
- A Tight Expressivity Hierarchy for GNN-Based Entity Resolution in Master Data Management
- Preconditioned Attention: Enhancing Efficiency in Transformers
- DiffSoup: Direct Differentiable Rasterization of Triangle Soup for Extreme Radiance Field Simplification
- Learning to Predict Future-Aligned Research Proposals with Language Models
- Pan-Cancer Mapping of the Tumor Immune Landscape through Metagene Clustering and Predictive Modeling
- Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography
- tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
- A Mean Field Games Perspective on Evolutionary Clustering
- Spectral-Aware Text-to-Time Series Generation with Billion-Scale Multimodal Meteorological Data
- Factorization Regret mediates compositional generalization in latent space
- Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
- Quantitative measurements of biological/chemical concentrations using smartphone cameras
- Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM
- The Price of Meaning: Why Every Semantic Memory System Forgets
- SJD-VP: Speculative Jacobi Decoding with Verification Prediction for Autoregressive Image Generation
- Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
- Hierarchy-Guided Topology Latent Flow for Molecular Graph Generation
- RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation
- MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles
- UniDAC: Universal Metric Depth Estimation for Any Camera
- Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders
- LLM Enhanced Action Recognition via Hierarchical Global-Local Skeleton-Language Model
- PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
- Sovereign Context Protocol: An Open Attribution Layer for Human-Generated Content in the Age of Large Language Models
- RDEx-MOP: Indicator-Guided Reconstructed Differential Evolution for Fixed-Budget Multiobjective Optimization
- RDEx-CSOP: Feasibility-Aware Reconstructed Differential Evolution with Adaptive epsilon-Constraint Ranking
- RDEx-SOP: Exploitation-Biased Reconstructed Differential Evolution for Fixed-Budget Bound-Constrained Single-Objective Optimization
- SceneExpander: Text-Guided 3D Scene Expansion via Free-Form View Insertion
- Forecastability as an Information-Theoretic Limit on Prediction
- Voice-based debate with an AI adversary is associated with increased divergent ideation
- On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness
- Story2Proposal: A Scaffold for Structured Scientific Paper Writing
- Conformalized Signal Temporal Logic Inference under Covariate Shift
- Towards Intrinsic-Aware Monocular 3D Object Detection
- Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning
- Persona-Based Simulation of Human Opinion at Population Scale
- Text Data Integration