mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 30 Dec 2025

213 papers

  1. Higress-RAG: A Holistic Optimization Framework for Enterprise Retrieval-Augmented Generation via Dual Hybrid Retrieval, Adaptive Routing, and CRAGRetrieval-augmented generation → RAG pipeline design and evaluation
  2. GCG Attack On A Diffusion LLMDiffusion models → Robustness, privacy and adversarial aspects +1
  3. Multi-Agent LLMs for Generating Research LimitationsLLM agents and tool use → Web, search, and research agents
  4. GRADE: Replacing Policy Gradients with Backpropagation for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  5. LLMize: A Framework for Large Language Model-Based Numerical OptimizationLLM reasoning → Test-time compute and efficient thinking
  6. SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing OptimisationLLM agents and tool use → Reinforcement learning for LLM agents
  7. The Silicon Psyche: Anthropomorphic Vulnerabilities in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  8. Evaluating the Reasoning Abilities of LLMs on Underrepresented Mathematics Competition ProblemsLLM reasoning → Mathematical reasoning
  9. Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map EnvironmentsLLM agents and tool use → Multimodal and embodied agents
  10. Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model PracticeLLM reasoning → Test-time compute and efficient thinking
  11. What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?World models → Latent predictive world models
  12. HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model PriorsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  13. Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
  14. PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy CompressionEfficient LLM inference and serving → KV cache optimization
  15. Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive ReasoningLLM reasoning → Chain-of-thought reasoning for driving +2
  16. Language Model Agents Under Attack: A Cross Model-Benchmark of Profit-Seeking Behaviors in Customer ServiceLLM agents and tool use → General LLM agent frameworks and benchmarks
  17. DyStream: Streaming Dyadic Talking Heads Generation via Flow Matching-based Autoregressive ModelDiffusion models → Audio, speech and music
  18. Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice ModelsOffline RL and imitation learning from data → Inverse reinforcement learning +1
  19. Lifting Vision: Ground to Aerial Localization with Reasoning Guided PlanningLLM reasoning → Spatial and embodied reasoning
  20. Spatial-aware Vision Language Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  21. SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
  22. World model inspired sarcasm reasoning with large language model agentsLLM reasoning → Multimodal reasoning +1
  23. QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMsLLM agents and tool use → Financial trading and forecasting agents
  24. Real-world Reinforcement Learning from Suboptimal InterventionsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  25. DRL-TH: Jointly Utilizing Temporal Graph Attention and Hierarchical Fusion for UGV Navigation in Crowded EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  26. Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video GenerationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  27. RAGPart & RAGMask: Retrieval-Stage Defenses Against Corpus Poisoning in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  28. Constrained Language Model Policy Optimization via Risk-aware Stepwise AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  29. Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCTDiffusion models → Medical imaging and segmentation
  30. Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing ProblemDeep reinforcement learning methods → RL for games and combinatorial optimization
  31. MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic SegmentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
  32. Mirage: One-Step Video Diffusion for Photorealistic and Coherent Asset Editing in Driving ScenesDiffusion models → Diffusion and flow policies for robotics
  33. GR-Dexter Technical ReportVision-language-action models → Human-video and latent-action pretraining
  34. CorGi: Contribution-Guided Block-Wise Interval Caching for Training-Free Acceleration of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  35. Guiding a Diffusion Transformer with the Internal Dynamics of ItselfDiffusion models → Diffusion foundations and sampling
  36. DiffThinker: Towards Generative Multimodal Reasoning with Diffusion ModelsLLM reasoning → Multimodal reasoning +2
  37. Deep Probabilistic Supervision for Image ClassificationKnowledge distillation → General knowledge distillation methods
  38. Training Report of TeleChat3-MoEMixture-of-experts → Efficient MoE training and inference systems
  39. Graph-Based Exploration for ARC-AGI-3 Interactive Reasoning TasksLLM reasoning → Multimodal reasoning
  40. Large Emotional World ModelWorld models → World models for language agents
  41. Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  42. Activation Steering for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +2
  43. GARDO: Reinforcing Diffusion Models without Reward HackingDiffusion models → Diffusion and flow policies for robotics +2
  44. Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-trainingLLM reasoning → Spatial and embodied reasoning +1
  45. GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical EvaluationLLM reasoning → Spatial and embodied reasoning
  46. CogRec: A Cognitive Recommender Agent Fusing Large Language Models and Soar for Explainable RecommendationLLM agents and tool use → Agentic recommender systems
  47. Guided Diffusion-based Generation of Adversarial Objects for Real-World Monocular Depth Estimation AttacksDiffusion models → Diffusion and flow policies for robotics
  48. RainFusion2.0: Temporal-Spatial Awareness and Hardware-Efficient Block-wise Sparse AttentionDiffusion models → Video generation
  49. LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize ParadigmSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
  50. How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level PatternsLLM reasoning → Reasoning benchmarks and evaluation
  51. Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov DataDeep reinforcement learning methods → RL theory and sample complexity
  52. AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard NegativesLLM reasoning → Hallucination detection and mitigation +1
  53. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?LLM safety and security → Jailbreaking
  54. ROAD: Reflective Optimization via Automated Debugging for Zero-Shot Agent AlignmentLLM agents and tool use → General LLM agent frameworks and benchmarks
  55. PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video EditingDiffusion models → Video generation
  56. RSAgent: Learning to Reason and Act for Text-Guided Segmentation via Multi-Turn Tool InvocationsLLM reasoning → Multimodal reasoning
  57. FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  58. On Exact Editing of Flow-Based Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  59. iCLP: Large Language Model Reasoning with Implicit Cognition Latent PlanningLLM reasoning → Reasoning benchmarks and evaluation
  60. Bridging the Perception-Cognition Gap:Re-engineering SAM2 with Hilbert-Mamba for Robust VLM-based Medical DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models +1
  61. SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharingLLM agents and tool use → Agent memory systems
  62. RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS StressMixture-of-experts → Expert routing strategies
  63. PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video GenerationWorld models → Video-generation world models and simulators
  64. Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning ProcessLLM reasoning → Reasoning benchmarks and evaluation +1
  65. DriveExplorer: Images-Only Decoupled 4D Reconstruction with Progressive Restoration for Driving View ExtrapolationDiffusion models → Diffusion and flow policies for robotics
  66. Coding With AI: From a Reflection on Industrial Practices to Future Computer Science and Software Engineering EducationLLM agents and tool use → Software engineering coding agents
  67. Assured autonomy: How operations research powers and orchestrates generative AI systemsLLM agents and tool use → Agent threats, guardrails and governance
  68. CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated RewardsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  69. An Comparative Analysis about KYC on a Recommendation System Toward Agentic Recommendation SystemLLM agents and tool use → Agentic recommender systems
  70. HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational ModelingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  71. Implicit geometric regularization in flow matching via density weighted Stein operatorsDiffusion models → Flow matching, time series and science
  72. T2VAttack: Adversarial Attack on Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  73. Learnable Query Aggregation with KV Routing for Cross-view Geo-localisationMixture-of-experts → Vision mixture-of-experts
  74. Soft Fitted Q-Iteration without Bellman Completeness: Occupancy Reweighting and Temperature AnnealingOffline RL and imitation learning from data → Offline RL algorithms +1
  75. Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing
  76. Bielik 11B v3: Multilingual Large Language Model for European Languages
  77. Concept Attractors in LLMs and their Applications
  78. Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
  79. Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
  80. Automated Reproducibility Has a Problem Statement Problem
  81. Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
  82. ProSoftArena: Benchmarking Hierarchical Capabilities of Multimodal Agents in Professional Software Environments
  83. LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification
  84. Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems
  85. Deep versus Broad Technology Search and the Timing of Innovation Impact
  86. Cultural Encoding in Large Language Models: The Existence Gap in AI-Mediated Brand Discovery
  87. A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam
  88. Distribution Matching for Graph Quantification Under Structural Covariate Shift
  89. Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery
  90. Universal Battery Degradation Forecasting Driven by Foundation Model Across Diverse Chemistries and Conditions
  91. Path Integral Solution for Dissipative Generative Dynamics
  92. Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks
  93. Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference
  94. Using Large Language Models To Translate Machine Results To Human Results
  95. Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech
  96. Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
  97. Generalising E-prop to Deep Networks
  98. Training-Free Color-Aware Adversarial Diffusion Sanitization for Diffusion Stegomalware Defense at Security Gateways
  99. Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning
  100. F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
All 213
  1. Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models
  2. Spectral and Spatial Graph Learning for Multispectral Solar Image Compression
  3. IELTS Writing Revision Platform with Automated Essay Scoring and Adaptive Feedback
  4. Cleaning English Abstracts of Scientific Publications
  5. Privacy-Preserving Semantic Communications via Multi-Task Learning and Adversarial Perturbations
  6. Generative forecasting with joint probability models
  7. Adaptive Learning Guided by Bias-Noise-Alignment Diagnostics
  8. Sparse classification with positive-confidence data in high dimensions
  9. Towards mechanistic understanding in a data-driven weather model: internal activations reveal interpretable physical features
  10. Exploring Compositionality in Vision Transformers using Wavelet Representations
  11. Virasoro Symmetry in Neural Network Field Theories
  12. AI-Driven Evaluation of Surgical Skill via Action Recognition
  13. Comparing Approaches to Automatic Summarization in Less-Resourced Languages
  14. Fast and Realistic Automated Scenario Simulations and Reporting for an Autonomous Racing Stack
  15. FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
  16. RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
  17. Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
  18. Geometric Multi-Session Map Merging with Learned Local Descriptors
  19. Tubular Riemannian Laplace Approximations for Bayesian Neural Networks
  20. Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
  21. Skim-Aware Contrastive Learning for Efficient Document Representation
  22. A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
  23. FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
  24. DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
  25. The Mechanics of CNN Filtering with Rectification
  26. OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers
  27. Topological Spatial Graph Coarsening
  28. MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
  29. Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction
  30. Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
  31. UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots
  32. Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission
  33. Figure It Out: Improve the Frontier of Reasoning with Executable Visual States
  34. Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction
  35. Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPC
  36. Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs
  37. One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical training
  38. LiftProj: Space Lifting and Projection-Based Panorama Stitching
  39. Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
  40. Tracing the Flow of Knowledge From Science to Technology Using Deep Learning
  41. Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm
  42. LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring
  43. MotivNet: Evolving Meta-Sapiens into an Emotionally Intelligent Foundation Model
  44. ARM: A Learnable, Plug-and-Play Module for CLIP-based Open-vocabulary Semantic Segmentation
  45. Medical Image Classification on Imbalanced Data Using ProGAN and SMA-Optimized ResNet: Application to COVID-19
  46. RANGER: A Monocular Zero-Shot Semantic Navigation Framework through Visual Contextual Adaptation
  47. Micro-Macro Tensor Neural Surrogates for Uncertainty Quantification in Collisional Plasma
  48. PointRAFT: 3D deep learning for high-throughput prediction of potato tuber weight from partial point clouds
  49. SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents
  50. MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring
  51. Variational Quantum Brushes
  52. Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
  53. Towards Open-Vocabulary Industrial Defect Understanding with a Large-Scale Multimodal Dataset
  54. Developing controlled natural language for formal specification patterns using AI assistants
  55. Fast Score-Based Sampling via Log-Concave Reductions
  56. When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation
  57. Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
  58. OptRot: Mitigating Weight Outliers via Data-Free Rotations for Post-Training Quantization
  59. Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
  60. Targeted Semantic Segmentation of Himalayan Glacial Lakes Using Time-Series SAR: Towards Automated GLOF Early Warning
  61. Quantitative Understanding of PDF Fits and their Uncertainties
  62. Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators
  63. Multilevel Fair Allocation with Matroid-Rank Preferences
  64. Enhancing LLM Planning Capabilities through Intrinsic Self-Critique
  65. Autoregressivity in the Latent Space of a GP-VAE Language Model: An Empirical Ablation Study
  66. Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation
  67. Training a Huggingface Model on AWS Sagemaker (Without Tears)
  68. Factorized Learning for Temporally Grounded Video-Language Models
  69. HY-MT1.5 Technical Report
  70. FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
  71. Random Multiplexing
  72. Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction
  73. Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
  74. Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
  75. Pathology Context Recalibration Network for Ocular Disease Recognition
  76. Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
  77. Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion
  78. Beyond Hallucinations: A Composite Score for Measuring Reliability in Open-Source Large Language Models
  79. Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower Bounds
  80. Reinforced Diffusion: Learning to Push the Limits of Anisotropic Diffusion for Image Denoising
  81. One-Shot Structured Pruning of Quantum Neural Networks via q-Group Engineering and Quantum Geometric Metrics
  82. Structure-Guided Allocation of 2D Gaussians for Image Representation and Compression
  83. FitControler: Toward Fit-Aware Virtual Try-On
  84. TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
  85. Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
  86. WISE: Web Information Satire and Fakeness Evaluation
  87. Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge
  88. MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
  89. GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
  90. MeLeMaD: Adaptive Malware Detection via Chunk-wise Feature Selection and Meta-Learning
  91. Anomaly detection in satellite imagery through temporal inpainting
  92. Information-Theoretic Quality Metric of Low-Dimensional Embeddings
  93. Fundamental limits for weighted empirical approximations of tilted distributions
  94. Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
  95. Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
  96. A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
  97. Efficient Context Scaling with LongCat ZigZag Attention
  98. DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
  99. U-Net-Like Spiking Neural Networks for Single Image Dehazing
  100. DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
  101. Improved Balanced Classification with Theoretically Grounded Loss Functions
  102. Statistical Guarantees in the Search for Less Discriminatory Algorithms
  103. Kinematic-Based Assessment of Surgical Actions in Microanastomosis
  104. Disentangling Learning from Judgment: Representation Learning for Open Response Analytics
  105. MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation
  106. A Proof-of-Concept for Explainable Disease Diagnosis Using Large Language Models and Answer Set Programming
  107. Assessing generative modeling approaches for free energy estimates in condensed matter
  108. Interactive Machine Learning: From Theory to Scale
  109. Learning to learn skill assessment for fetal ultrasound scanning
  110. Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applications
  111. Constraint Breeds Generalization: Temporal Dynamics as an Inductive Bias
  112. A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe
  113. Rethinking Dense Linear Transformations: Stagewise Pairwise Mixing (SPM) for Near-Linear Training in Neural Networks