Papers
Sun 29 Mar 2026
190 papers
- LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-AnalysisLLM agents and tool use → Web, search, and research agents
- Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offsLLM safety and security → Prompt injection and agent security
- Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language LearningLLM agents and tool use → Social simulation and multi-agent debate
- Avoiding Overthinking and Underthinking: Curriculum-Aware Budget Scheduling for LLMsLLM reasoning → Test-time compute and efficient thinking
- ESGLens: An LLM-Based RAG Framework for Interactive ESG Report Analysis and Score PredictionRetrieval-augmented generation → Legal and financial RAG
- QU-NLP at QIAS 2026: Multi-Stage QLoRA Fine-Tuning for Arabic Islamic Inheritance ReasoningLLM reasoning → Reasoning for agents, planning and code
- Stream2LLM: Overlap Context Streaming and Prefill for Reduced Time-to-First-Token (TTFT)Efficient LLM inference and serving → Serving systems and request scheduling
- Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- GAAMA: Graph Augmented Associative Memory for AgentsLLM agents and tool use → Agent memory systems
- ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime ControlLLM agents and tool use → Software engineering coding agents
- R'enyi Entropy: A New Token Pruning Metric for Vision TransformersEfficient LLM inference and serving → Visual token pruning in multimodal models
- SAGE: Sink-Aware Grounded Decoding for Multimodal Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial RewardsDeep reinforcement learning methods → RL theory and sample complexity
- Wan-R1: Verifiable-Reinforcement Learning for Video ReasoningLLM reasoning → Multimodal reasoning
- EffiSkill: Agent Skill Based Automated Code Efficiency OptimizationLLM agents and tool use → Software engineering coding agents
- Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3LLM reasoning → Test-time compute and efficient thinking
- Improving Clinical Diagnosis with Counterfactual Multi-Agent ReasoningLLM reasoning → Clinical and biomedical applications +1
- KVSculpt: KV Cache Compression as DistillationEfficient LLM inference and serving → KV cache optimization
- MuSEAgent: A Multimodal Reasoning Agent with Stateful ExperiencesLLM reasoning → Multimodal reasoning +1
- Conversational Agents and the Understanding of Human Language: Reflections on AI, LLMs, and Cognitive ScienceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diversity Matters: Dataset Diversification and Dual-Branch Network for Generalized AI-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- TailNLG: A Multilingual Benchmark Addressing Verbalization of Long-Tail EntitiesRetrieval-augmented generation → RAG pipeline design and evaluation
- AutoStan: Autonomous Bayesian Model Improvement via Predictive FeedbackLLM agents and tool use → Web, search, and research agents
- Let the Agent Steer: Closed-Loop Ranking Optimization via Influence ExchangeLLM agents and tool use → Agentic recommender systems
- When Surfaces Lie: Exploiting Wrinkle-Induced Attention Shift to Attack Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAGRetrieval-augmented generation → Hallucination detection in RAG
- SkyNet: Belief-Aware Planning for Partially-Observable Stochastic GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Needle in the Repo: A Benchmark for Maintainability in AI-Generated Repository EditsLLM agents and tool use → Software engineering coding agents
- Data Organization Matters in Multimodal Instruction Tuning: A Controlled Study of Capability Trade-offsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- TIR-Agent: Training an Explorative and Efficient Agent for Image RestorationLLM agents and tool use → Multimodal and embodied agents
- Synergizing Discriminative Exemplars and Self-Refined Experience for MLLM-based In-Context Learning in Medical DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models
- KAT-Coder-V2 Technical ReportLLM agents and tool use → Software engineering coding agents
- Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz CompositionDeep reinforcement learning methods → RL training of language and agent models
- Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?LLM reasoning → Reasoning benchmarks and evaluation
- LVRPO: Language-Visual Alignment with GRPO for Multimodal Understanding and GenerationLLM reasoning → Multimodal reasoning +1
- Customized Visual Storytelling with Unified Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic ManipulationVision-language-action models → Efficient VLA inference and adaptation +1
- V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- PRBench: End-to-end Paper Reproduction in Physics ResearchLLM reasoning → Spatial and embodied reasoning
- OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image GenerationDiffusion models → Image generation, text-to-image and editing
- Umwelt Engineering: Designing the Cognitive Worlds of Linguistic AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Expert Streaming: Accelerating Low-Batch MoE Inference via Multi-chiplet Architecture and Dynamic Expert Trajectory SchedulingMixture-of-experts → Efficient MoE training and inference systems
- You Only Erase Once: Erasing Anything without Bringing Unexpected ContentDiffusion models → Robustness, privacy and adversarial aspects
- STRIDE: When to Speak Meets Sequence Denoising for Streaming Video UnderstandingLLM reasoning → Multimodal reasoning
- Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- LLM-Enabled Low-Altitude UAV Natural Language Navigation via Signal Temporal Logic Specification Translation and RepairLLM reasoning → Spatial and embodied reasoning
- RAGent: Physics-Aware Agentic Reasoning for Training-Free mmWave Human Activity RecognitionLLM reasoning → Spatial and embodied reasoning
- InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for IntrospectionLLM agents and tool use → Social simulation and multi-agent debate
- Learning to See through Illumination Extremes with Event Streaming in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Toward Reliable Evaluation of LLM-Based Financial Multi-Agent Systems: Taxonomy, Coordination Primacy, and Cost AwarenessLLM agents and tool use → Financial trading and forecasting agents
- Safer Builders, Risky Maintainers: A Comparative Study of Breaking Changes in Human vs Agentic PRsLLM agents and tool use → Software engineering coding agents
- Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- TokenDial: Continuous Attribute Control for Text-to-Video Generation in Visual Dial SpaceDiffusion models → Video generation
- Over-Refusal and Representation Subspaces: A Mechanistic Analysis of Task-Conditioned Refusal in Aligned LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A Security Analysis of the OpenClaw AI Agent FrameworkLLM reasoning → Reasoning for agents, planning and code +1
- Match or Replay: Self Imitating Proximal Policy OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
- Understanding Semantic Perturbations on In-Processing Generative Image WatermarksLLM safety and security → Watermarking generated content and models
- Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLMMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMsLLM reasoning → Multimodal reasoning +1
- AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web AgentsLLM agents and tool use → Agent memory systems
- Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement LearningLLM reasoning → Multimodal reasoning
- On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Driving Condition-Aware Multi-Agent Integrated Power and Thermal Management for Hybrid Electric VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- KV Cache Quantization for Self-Forcing Video Generation: A 33-Method Empirical StudyEfficient LLM inference and serving → Fast autoregressive visual generation
- TurboAngle: Near-Lossless KV Cache Compression via Uniform Angle QuantizationEfficient LLM inference and serving → KV cache quantization
- Multi-Agent Dialectical Refinement for Enhanced Argument ClassificationLLM agents and tool use → Social simulation and multi-agent debate
- FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- RAINO: Anchoring Agents in Reality, A Systematic Review and Conceptual Framework for Realism in Agent-Based Modelling
- The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions
- The Root Theorem of Context Engineering
- Do Small Language Models Know When They're Wrong? Confidence-Based Cascade Scoring for Educational Assessment
- Instructor-Created Custom GPTs as Pedagogical Partners Fostering Immersion in Online Higher Education: Two Case Studies
- Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks
- WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals
- Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
- Probabilistic Language Tries: A Unified Framework for Compression, Decision Policies, and Execution Reuse
- AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System
- MoViD: View-Invariant 3D Human Pose Estimation via Motion-View Disentanglement
- Computational Foundations for Strategic Coopetition: Formalizing Sequential Interaction and Reciprocity
- Large Language Models for Analyzing Enterprise Architecture Debt in Unstructured Documentation
- DriftScript: A Domain-Specific Language for Programming Non-Axiomatic Reasoning Agents
- Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective
- SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
- Time is Not Compute: Scaling Laws for Wall-Clock Constrained Training on Consumer GPUs
- Spatial Orthogonal Refinement for Robust RGB-Event Visual Object Tracking
- An Empirical Markov Chain Car-Following (MC-CF) Model
- BINO: Encoder Centric Self Supervised Stereo With Native Pair Input
- Persistence diagrams of random matrices via Morse theory: universality and a new spectral diagnostic
- Poppy: Polarization-based Plug-and-Play Guidance for Enhancing Monocular Normal Estimation
- Article and Comment Frames Shape the Quality of Online Comments
- AI-ready design of realistic 2D materials and interfaces with Mat3ra-2D
- Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in Neural Networks
- Kernel Dynamics under Path Entropy Maximization
- HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
- Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version
- Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
- A Revealed Preference Framework for AI Alignment
- Vertical Consensus Inference for High-Dimensional Random Partition
- ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
- KazByte: Adapting Qwen models to Kazakh via Byte-level Adapter
All 190
- CARGO: Carbon-Aware Gossip Orchestration in Smart Shipping
- What can LLMs tell us about the mechanisms behind polarity illusions in humans? Experiments across model scales and training steps
- ProText: A benchmark dataset for measuring (mis)gendering in long-form texts
- Q-Bridge: Code Translation for Quantum Machine Learning via LLMs
- 3-D Representations for Hyperspectral Flame Tomography
- jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism
- Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras
- Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
- RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
- Tracking without Seeing: Geospatial Inference using Encrypted Traffic from Distributed Nodes
- Understanding Teacher Revisions of Large Language Model-Generated Feedback
- Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
- Engineering Mythology: A Digital-Physical Framework for Culturally-Inspired Public Art
- Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images
- What-If Explanations Over Time: Counterfactuals for Time Series Classification
- Inference-time Trajectory Optimization for Structure-Preserving Manga Image Editing
- GS3LAM: Gaussian Semantic Splatting SLAM
- Exploring Student Perception on Gen AI Adoption in Higher Education: A Descriptive Study
- RINO: Rotation-Invariant Non-Rigid Correspondences
- Emergent Risks in Generative Multi-Agent Systems
- RHO: Robust Holistic OSM-Based Metric Cross-View Geo-Localization
- E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences
- Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control
- AI-Powered Facial Mask Removal Is Not Suitable For Identification
- Empirical Likelihood for Nonsmooth Functionals
- Segmenting Superbubbles in a Simulated Multiphase Interstellar Medium using Computer Vision
- TianJi:An autonomous AI meteorologist for discovering physical mechanisms in atmospheric science
- Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
- Suppression of 14C photon hits in large liquid scintillator detectors via spatiotemporal deep learning
- TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution
- Look, Compare and Draw: Differential Query Transformer for Automatic Oil Painting
- The role of neuromorphic principles in the future of biomedicine and healthcare
- Low-Rank Adaptation Reduces Catastrophic Forgetting in Sequential Transformer Encoder Fine-Tuning: Controlled Empirical Evidence and Frozen-Backbone Representation Probes
- RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
- Ink Detection from Surface Topography of the Herculaneum Papyri
- Can Unsupervised Segmentation Reduce Annotation Costs for Video Semantic Segmentation?
- CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning
- Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization
- Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification
- EvA: An Evidence-First Audio Understanding Paradigm for LALMs
- Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers
- Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
- Investigating the Influence of Language on Sycophantic Behavior of Multilingual LLMs
- LiDAR for Crowd Management: Applications, Benefits, and Future Directions
- A Benchmarking Methodology to Assess Open-Source Video Large Language Models in Automatic Captioning of News Videos
- Amped: Adaptive Multi-stage Non-edge Pruning for Edge Detection
- The Degree of Language Diacriticity and Its Effect on Tasks
- Budget-Xfer: Budget-Constrained Source Language Selection for Cross-Lingual Transfer to African Languages
- OpenDPR: Open-Vocabulary Change Detection via Vision-Centric Diffusion-Guided Prototype Retrieval for Remote Sensing Imagery
- ContraMap: Contrastive Uncertainty Mapping for Robot Environment Representation
- On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
- RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning
- DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Flexible Job Shop with LLM-Evolved Heuristic Portfolios
- Clore: Interactive Pathology Image Segmentation with Click-based Local Refinement
- What Does a System Modify When It Modifies Itself?
- Calibration and transfer in indicator-based assessments of artificial consciousness
- An Energy-Efficient Spiking Neural Network Architecture for Predictive Insulin Delivery
- A Robust Low-Rank Prior Model for Structured Cartoon-Texture Image Decomposition with Heavy-Tailed Noise
- Structured Observation Language for Efficient and Generalizable Vision-Language Navigation
- A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators
- Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method
- PANDORA: Pixel-wise Attention Dissolution and Latent Guidance for Zero-Shot Object Removal
- Annotation-Free Detection of Drivable Areas and Curbs Leveraging LiDAR Point Cloud Maps
- BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities
- Drag or Traction: Understanding How Designers Appropriate Friction in AI Ideation Outputs
- MV-RoMa: From Pairwise Matching into Multi-View Track Reconstruction
- A Novel Immune Algorithm for Multiparty Multiobjective Optimization
- LongCat-Next: Lexicalizing Modalities as Discrete Tokens
- Dual-Stage LLM Framework for Scenario-Centric Semantic Interpretation in Driving Assistance
- Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation
- OmniColor: A Unified Framework for Multi-modal Lineart Colorization
- A gentle tutorial on Bock's algorithm for minimum directed spanning trees with a structured reformulation
- Cross-attentive Cohesive Subgraph Embedding to Mitigate Oversquashing in GNNs
- Visualization of Machine Learning Models through Their Spatial and Temporal Listeners
- Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization
- SPROUT: A Scalable Diffusion Foundation Model for Multi-Crop Plant Phenotyping
- SGS-Intrinsic: Semantic-Invariant Gaussian Splatting for Sparse-View Indoor Inverse Rendering
- Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
- Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models
- Streamlined Open-Vocabulary Human-Object Interaction Detection
- STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking
- Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding
- Variational Learning of Fractional Posteriors
- Estimating the Impact of COVID-19 on Travel Demand in Houston Area Using Deep Learning and Satellite Imagery
- PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification
- RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
- Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
- A tree interpretation of arc standard dependency derivation
- Optimal Demixing of Nonparametric Densities
- From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis