Papers
Sat 25 Apr 2026
178 papers
- Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational OutcomesLLM agents and tool use → General LLM agent frameworks and benchmarks
- GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRIMultimodal LLMs / vision-language models → Medical vision-language models
- Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- CUJBench: Benchmarking LLM-Agent on Cross-Modal Failure Diagnosis from Browser to BackendLLM agents and tool use → Software engineering coding agents
- When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model EscapeLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge AcquisitionLLM reasoning → Reasoning for agents, planning and code
- PushupBench: Your VLM is not good at counting pushupsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Breaking the Resource Wall: Geometry-Guided Sequence Modeling for Efficient Semantic SegmentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- SoccerRef-Agents: Multi-Agent System for Automated Soccer RefereeingLLM agents and tool use → Multimodal and embodied agents
- V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You ThinkLLM reasoning → Reinforcement learning for reasoning
- Ghost in the Agent: Redefining Information Flow Tracking for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMsLLM agents and tool use → Medical and scientific domain agents
- UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Learning from Demonstration with Failure Awareness for Safe Robot NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- When Chain-of-Thought Fails, the Solution Hides in the Hidden StatesLLM reasoning → Prompting and chain-of-thought reasoning
- GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex GeometriesDiffusion models → Flow matching, time series and science
- EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMsLLM reasoning → Audio-language model reasoning +1
- Bridging Reasoning and Action: Hybrid LLM-RL Framework for Efficient Cross-Domain Task-Oriented DialogueLLM reasoning → Reinforcement learning for reasoning
- Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC StandardsLLM safety and security → Jailbreaking
- A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface FrameworkLLM agents and tool use → Agent threats, guardrails and governance +1
- Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPAKnowledge distillation → Knowledge distillation for LLMs
- Process Supervision of Confidence Margin for Calibrated LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Hidden States Know Where Reasoning Diverges: Credit Assignment via Span-Level Wasserstein DistanceLLM reasoning → Reinforcement learning for reasoning +1
- GIFT: Global stabilisation via Intrinsic Fine TuningDeep reinforcement learning methods → RL theory and sample complexity
- CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
- Towards Agentic Test-Driven Quality Assurance for 6G NetworksLLM agents and tool use → Software engineering coding agents
- Revisable by Design: A Theory of Streaming LLM Agent ExecutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Active Inference: A method for Phenotyping Agency in AI systems?LLM agents and tool use → General LLM agent frameworks and benchmarks
- From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph PriorsEfficient LLM inference and serving → Prompt and context compression
- Lightweight and Production-Ready PDF Visual Element ParsingRetrieval-augmented generation → Multimodal RAG
- Modular Sensory Stream for Integrating Physical Feedback in Vision-Language-Action ModelsVision-language-action models → Tactile, force-aware and humanoid VLA
- CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- MotionHiFlow: Text-to-motion via hierarchical flow matchingDiffusion models → Video generation
- AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Measuring Temporal Linguistic Emergence in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Discovering Agentic Safety Specifications from 1-Bit Danger SignalsLLM agents and tool use → Agent threats, guardrails and governance
- From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation PatternsMixture-of-experts → MoE large language models
- UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering TasksLLM reasoning → Multimodal reasoning
- UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering AttacksLLM safety and security → Prompt injection and agent security
- How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud StudyLLM reasoning → Knowledge- and tool-augmented reasoning
- From Concept-Aligned Tokens to Vulnerable Features: Mechanistic Localization of JailbreaksLLM safety and security → Jailbreaking +1
- ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements NegotiationLLM agents and tool use → Software engineering coding agents
- Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-TrainingVision-language-action models → VLA architectures and generalization
- Mixture of Heterogeneous Grouped Experts for Language ModelingMixture-of-experts → Efficient MoE training and inference systems
- No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific WorkflowsLLM agents and tool use → Software engineering coding agents
- Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM ApproachLLM agents and tool use → Web, search, and research agents
- Code Broker: A Multi-Agent System for Automated Code Quality AssessmentLLM agents and tool use → Software engineering coding agents
- Usable Agent Discovery for Decentralized AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench
- Towards an Argumentative Foundation for Evaluative AI
- IdiomX A Multilingual Benchmark for Idiom Understanding, Retrieval, and Interpretation
- Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications
- Robustness of Refugee-Matching Gains to Off-Policy Evaluation Choices
- From Canopy to Collision: A Hybrid Predictive Framework for Identifying Risk Factors in Tree-Involved Traffic Crashes
- OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
- Visual Chart Representations for Cryptocurrency Regime Prediction: A Systematic Deep Learning Study
- Latent Space Probing for Adult Content Detection in Video Generative Models
- V.O.I.C.E (Voice, Ownership, Identity, Control, Expression): Risk Taxonomy of Synthetic Voice Generation From Empirical Data
- CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images
- Semantic Denial of Service in LLM-controlled robots
- GeoCert: Certified Geometric AI for Reliable Forecasting
- Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
- Can Humans Detect AI? Mining Textual Signals of AI-Assisted Writing Under Varying Scrutiny Conditions
- Progress in Formalizing Sphere Packing in Dimension 8
- Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference
- Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs
- Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study
- Architecture Matters for Multi-Agent Security
- A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
- Anchored Variational Inference for Personalized Sequential Latent-State Models
- From Edges to Depth: Probing the Spatial Hierarchy in Vision Transformers
- ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
- IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
- AI Safety Training Can be Clinically Harmful
- Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective
- Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices
- Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
- Inference of Online Newton Methods with Nesterov's Accelerated Sketching
- Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis
- When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer
- Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations
- Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models
- On (not) learning the M"obius function
- Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
- Evolve: A Persistent Knowledge Lifecycle for Small Language Models
- Approximating Uniform Random Rotations by Two-Stage Structured Hadamard Rotations in High Dimensions
- A Heterogeneous Two-Stream Framework for Video Action Recognition with Comparative Fusion Analysis
- Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing
- Learn&Drop: Fast Learning of CNNs based on Layer Dropping
- When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL
- Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval
- A Parametric Memory Head for Continual Generative Retrieval
- Keypoint-based Dynamic Object 6-DoF Pose Tracking via Event Camera
- A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning
- Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening
- MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
- Constraint-Based Analysis of Reasoning Shortcuts in Neurosymbolic Learning
All 178
- Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis
- Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
- When Context Sticks: Studying Interference in In-Context Learning
- Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schr"odinger Bridge Problem
- TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
- An Empirical Evaluation of Locally Deployed LLMs for Bug Detection in Python Code
- VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs
- LEGO: An LLM Skill-Based Front-End Design Generation Platform
- Explainable AI in Speaker Recognition -- Making Latent Representations Understandable
- Evaluating Large Language Models on Computer Science University Exams in Data Structures
- Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection
- H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
- EAD-Net: Emotion-Aware Talking Head Generation with Spatial Refinement and Temporal Coherence
- Layer Embedding Deep Fusion Graph Neural Network
- Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss
- KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition
- Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
- STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning
- CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
- S2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
- Human-1 by Josh Talks: A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations
- An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations
- MetaErr: Towards Predicting Error Patterns in Deep Neural Networks
- Au-M-ol: A Unified Model for Medical Audio and Language Understanding
- Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search
- Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
- AI Identity: Standards, Gaps, and Research Directions for AI Agents
- SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
- A Hierarchical Ensemble Inference Pipeline for Robust White Blood Cell Classification Under Domain Shifts
- LatentBurst: A Fast and Efficient Multi Frame Super-Resolution for Hexadeca-Bayer Pattern CIS images
- Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
- Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt
- Explicit integral representations and quantitative bounds for two-layer ReLU networks
- Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss
- Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
- Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
- AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
- Micro-Expression-Aware Avatar Fingerprinting via Inter-Frame Feature Differencing
- Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
- Spectro-Temporal Modulation Representation Framework for Human-Imitated Speech Detection
- Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning
- A Layer Separation Optimization Framework for Cross-Entropy Training in Deep Learning
- DARC-CLIP: Dynamic Adaptive Refinement with Cross-Attention for Meme Understanding
- Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions
- Tessera: Secure, Near-Line-Rate Weight Streaming for UMA Edge Accelerators
- StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning
- Follow the TRACE: Exploiting Post-Click Trajectories for Online Delayed Conversion Rate Prediction
- AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval
- Well-Conditioned Oblivious Perturbations in Linear Space
- RAT: RunAnyThing via Fully Automated Environment Configuration
- DyABD: The Abdominal Muscle Segmentation in Dynamic MRI Benchmark
- A Unified Fractional Regularization Framework for Sparse Recovery
- Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds
- Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
- Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines
- One Identity, Many Roles: Multimodal Entity Coreference for Enhanced Video Situation Recognition
- Efficient VQ-QAT and Mixed Vector/Linear quantized Neural Networks
- A Topology fixated Shape Gradient Framework for Non Simple Boundary Extraction for CIE Lab color images with Repulsive Energy
- A satellite foundation model for improved wealth monitoring
- BSViT: A Burst Spiking Vision Transformer for Expressive and Efficient Visual Representation Learning
- PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks
- CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model
- Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization
- h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
- MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration
- A Dynamic Learning Observatory Reveals the Rapid Salinization of Satkhira, Bangladesh
- Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label
- HBGSA: Hydrogen Bond Graph with Self-Attention for Drug-Target Binding Affinity Prediction
- A Tale of Two Variances: When Single-Seed Benchmarks Fail in Bayesian Deep Learning
- Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning
- MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
- Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
- Unstable Rankings in Bayesian Deep Learning Evaluation
- ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
- INSIGHT: Indoor Scene Intelligence from Geometric-Semantic Hierarchy Transfer for Public~Safety
- FusionRelight: Relighting Portraits in Real Time via Hybrid Domain Knowledge Fusion
- Channel Adaptation for EEG Foundation Models: A Systematic Benchmark Across Architectures, Tasks, and Training Regimes
- Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data