Papers

New on arXiv

Sat 8 Nov 2025

169 papers

Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification ExtractionRetrieval-augmented generation → RAG pipeline design and evaluation
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
MTTR-A: Measuring Cognitive Recovery Latency in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
EduAgentQG: Multi-Agent Personalized Mathematics Question Generation with Explicit Diversity and Objective-Aware EvaluationLLM agents and tool use → Educational agents and math problem solving
The Polite Liar: Epistemic Pathology in Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
Evaluating Implicit Biases in LLM Reasoning through Logic Grid PuzzlesLLM reasoning → Reasoning benchmarks and evaluation +1
Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem SolvingDiffusion models → Flow matching, time series and science
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It BreaksWorld models → Latent predictive world models +1
Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMsLLM agents and tool use → Reinforcement learning for LLM agents
Evaluation of retrieval-based QA on QUEST-LOFTRetrieval-augmented generation → RAG robustness and adaptive retrieval
Guardian-regularized Safe Offline Reinforcement Learning for Smart Weaning of Mechanical Circulatory DevicesOffline RL and imitation learning from data → Safe offline RL
SynthAgent: Adapting Web Agents with Synthetic SupervisionLLM agents and tool use → Web, search, and research agents
Approximating Shapley Explanations in Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
ScRPO: From Errors to InsightsLLM reasoning → Reinforcement learning for reasoning
Neodragon: Mobile Video Generation using Diffusion TransformerDiffusion models → Video generation
Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated ConceptsMechanistic interpretability → SAE features and their applications
COFM: Consistent Optimal Transport Flow Matching via Partially Input Convex Neural NetworksDiffusion models → Flow matching, time series and science
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM ServingLLM reasoning → Test-time compute and efficient thinking +1
Multi-Reward GRPO Fine-Tuning for De-biasing Large Language Models: A Study Based on Chinese-Context Discrimination DataLLM reasoning → Reinforcement learning for reasoning +1
MiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion ModelDiffusion models → Video generation
How Reasoning Influences Intersectional Biases in Vision Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
Revisiting Entropy in Reinforcement Learning for Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
Ontology Learning and Knowledge Graph Construction: A Comparison of Approaches and Their Impact on RAG PerformanceRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
Kunlun Anomaly Troubleshooter: Enabling Kernel-Level Anomaly Detection and Causal Reasoning for Large Model Distributed InferenceLLM reasoning → Chain-of-thought reasoning for driving
DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing ModalitiesMixture-of-experts → Medical and biomedical MoE
Next-Latent Prediction Transformers Learn Compact World ModelsWorld models → World models for language agents
Klear-AgentForge: Forging Agentic Intelligence through Posttraining ScalingLLM agents and tool use → Reinforcement learning for LLM agents
A PDE Perspective on Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
10 Open Challenges Steering the Future of Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge ComputingRetrieval-augmented generation → RAG pipeline design and evaluation
Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical ConsiderationsRetrieval-augmented generation → Medical and biomedical RAG
Open-World 3D Scene Graph Generation for Retrieval-Augmented ReasoningLLM reasoning → Spatial and embodied reasoning +1
An item is worth one token in Multimodal Large Language Models-based Sequential RecommendationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
An Empirical Study of Reasoning Steps in Thinking Code LLMsLLM reasoning → Reasoning for agents, planning and code
Can LLM Infer Risk Information From MCP Server System Logs?LLM safety and security → Prompt injection and agent security
CGCE: Classifier-Guided Concept Erasure in Generative ModelsLLM safety and security → Vision-language and text-to-image safety
IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item PromotionLLM safety and security → Membership inference attacks
Enhancing Diffusion Model Guidance through Calibration and RegularizationDiffusion models → Diffusion foundations and sampling
TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate EstimationState-space sequence models (S4, Mamba) → Physiological signal modeling
Policy Gradient-Based EMT-in-the-Loop Learning to Mitigate Sub-Synchronous Control InteractionsDeep reinforcement learning methods → RL theory and sample complexity
From Ranking to Reasoning: Explainable Web API Recommendation via Semantic ReasoningLLM reasoning → LLM reasoning for recommendation
In-depth Analysis on Caching and Pre-fetching in Mixture of Experts OffloadingMixture-of-experts → Efficient MoE training and inference systems
Catching Contamination Before Generation: Spectral Kill Switches for AgentsLLM reasoning → Reasoning for agents, planning and code +1
When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot PluginsLLM safety and security → Prompt injection and agent security
VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
DRAGON: Guard LLM Unlearning in Context via Negative Detection and ReasoningLLM reasoning → Reasoning for agents, planning and code +1
Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model
Secure Autonomous Agent Payments: Verifying Authenticity and Intent in a Trustless Environment
Enhancing PINN Accuracy for the RLW Equation: Adaptive and Conservative Approaches
An Explainable and Fair AI Tool for PCOS Risk Assessment: Calibration, Subgroup Equity, and Interactive Clinical Deployment
Tactile Data Recording System for Clothing with Motion-Controlled Robotic Sliding
Psychological stress during Examination and its estimation by handwriting in answer script
A Mathematical Framework for AI Singularity: Conditions, Bounds, and Control of Recursive Improvement
From Hubs to Deserts: Urban Cultural Accessibility Patterns with Explainable AI
RELEAP: Reinforcement-Enhanced Label-Efficient Active Phenotyping for Electronic Health Records
Multivariate Variational Autoencoder
Towards Personalized Quantum Federated Learning for Anomaly Detection
Slimmable NAM: Neural Amp Models with adjustable runtime computational cost
Learning Gaussian DAG Models without Condition Number Bounds
Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains
Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
Real-Time Bundle Adjustment for Ultra-High-Resolution UAV Imagery Using Adaptive Patch-Based Feature Tracking
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
Enhancing Robustness of Graph Neural Networks through p-Laplacian
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
On the Convergence and Stability of Distributed Sub-model Training
A Deep Learning Model for Predicting Transformation Legality
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
Forecasting Thermospheric Density with Transformers for Multi-Satellite Orbit Management
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration
MuonAll: Muon Variant for Efficient Finetuning of Large Language Models
Event-driven physics-informed operator learning for reliability analysis
AIDEN: Design and Pilot Study of an AI Assistant for the Visually Impaired
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
Stemming Hallucination in Language Models Using a Licensing Oracle
CatBack: Universal Backdoor Attacks on Tabular Data via Categorical Encoding
Automating Hardware Design and Verification from Architectural Papers via a Neural-Symbolic Graph Framework
LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction
A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
Identity Card Presentation Attack Detection: A Systematic Review
Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection
Efficient Hate Speech Detection: A Three-Layer LoRA-Tuned BERTweet Framework
StreamSTGS: Streaming Spatial and Temporal Gaussian Grids for Real-Time Free-Viewpoint Video
How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
Advancing Ocean State Estimation with efficient and scalable AI
The Algorithmic Phase Transition in Correlated Spiked Models
S2ML: Spatio-Spectral Mutual Learning for Depth Completion
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
One-Shot Knowledge Transfer for Scalable Person Re-Identification
MoSKA: Mixture of Shared KV Attention for Efficient Long-Sequence LLM Inference
Distributed Deep Learning for Medical Image Denoising with Data Obfuscation

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