mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 1 Feb 2025

186 papers

  1. How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its PeersLLM reasoning → Reasoning for agents, planning and code +1
  2. Analysis of Diffusion Models for Manifold DataDiffusion models → Diffusion foundations and sampling
  3. Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference RankingDiffusion models → Diffusion and flow policies for robotics +1
  4. Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic EncodingDiffusion models → 3D, point cloud and scene generation
  5. Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated ProcessingState-space sequence models (S4, Mamba) → Vision Mamba backbones
  6. Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor AttacksKnowledge distillation → Federated, robust and private distillation
  7. Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt EvaluationLLM safety and security → Jailbreaking
  8. Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic ApproachMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  9. Sampling Binary Data by Denoising through Score FunctionsDiffusion models → Diffusion foundations and sampling
  10. Transition Transfer Q-Learning for Composite Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  11. Vision-Language Modeling in PET/CT for Visual Grounding of Positive FindingsMultimodal LLMs / vision-language models → Medical vision-language models
  12. PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding AccelerationEfficient LLM inference and serving → KV cache quantization
  13. Variance Reduction via Resampling and Experience ReplayDeep reinforcement learning methods → Deep RL algorithms and representations
  14. Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
  15. Understanding and Optimizing Agentic Workflows via Shapley valueLLM agents and tool use → Software engineering coding agents
  16. Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and ExtrapolationDiffusion models → Video generation
  17. MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-ProcessingLLM reasoning → Spatial and embodied reasoning
  18. Weak-to-Strong Diffusion with ReflectionDiffusion models → Diffusion foundations and sampling +1
  19. EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence ModelingWorld models → Latent dynamics models and model-based RL +1
  20. MambaGlue: Fast and Robust Local Feature Matching With MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
  21. CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
  22. TEST-V: TEst-time Support-set Tuning for Zero-shot Video ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  23. MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static QuantizationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  24. MarketSenseAI 2.0: Enhancing Stock Analysis through LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
  25. Agents Are All You Need for LLM UnlearningLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  26. Interpreting Emergent Features in Deep Learning-based Side-channel AnalysisMechanistic interpretability → Circuits and mechanistic analysis
  27. NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic ReasoningLLM reasoning → Multimodal reasoning
  28. Efficient Online Reinforcement Learning for Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics +2
  29. Exploring Representation-Aligned Latent Space for Better GenerationDiffusion models → Diffusion foundations and sampling
  30. PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningMixture-of-experts → Federated mixture-of-experts
  31. A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making AlgorithmsDeep reinforcement learning methods → RL for autonomous driving and traffic
  32. OrcaLoca: An LLM Agent Framework for Software Issue LocalizationLLM agents and tool use → Software engineering coding agents
  33. Actor Critic with Experience Replay-based automatic treatment planning for prostate cancer intensity modulated radiotherapyDeep reinforcement learning methods → RL for clinical treatment and surgery
  34. Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning CurvesDiffusion models → Diffusion foundations and sampling
  35. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  36. BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-ResolutionDiffusion models → Inverse problems and image restoration
  37. From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and GenerationLLM reasoning → Reasoning benchmarks and evaluation +1
  38. A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  39. Distributive Fairness in Large Language Models: Evaluating Alignment with Human ValuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  40. A Diffusion Model Translator for Efficient Image-to-Image TranslationDiffusion models → Image generation, text-to-image and editing
  41. Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
  42. ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM InferenceEfficient LLM inference and serving → KV cache optimization
  43. Agentic AI: Autonomy, Accountability, and the Algorithmic SocietyLLM agents and tool use → General LLM agent frameworks and benchmarks
  44. Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-NetworkDeep reinforcement learning methods → RL theory and sample complexity
  45. Sigmoid Self-Attention has Lower Sample Complexity than Softmax Self-Attention: A Mixture-of-Experts PerspectiveMixture-of-experts → Expert routing strategies
  46. Scaling Flaws of Verifier-Guided Search in Mathematical ReasoningLLM reasoning → Test-time compute and efficient thinking
  47. INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case EvaluationMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
  48. Contrastive Private Data Synthesis via Weighted Multi-PLM FusionSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  49. Mordal: Automated Pretrained Model Selection for Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  50. Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order AlgorithmsDiffusion models → Diffusion foundations and sampling
  51. When and How to Integrate Multimodal Large Language Models in College Psychotherapy: Perspectives from Multi-stakeholdersMultimodal LLMs / vision-language models → Multimodal emotion understanding
  52. Analysis of AI Effectiveness in Reducing Human Errors in Processing Transportation Requests
  53. Ethics of generative AI and manipulation: a design-oriented research agenda
  54. Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration
  55. Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation
  56. Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
  57. Comparative Analysis of Community Detection Algorithms on the SNAP Social Circles Dataset
  58. MIND: Microstructure INverse Design with Generative Hybrid Neural Representation
  59. Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset
  60. Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization
  61. Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
  62. Multilingual State Space Models for Structured Question Answering in Indic Languages
  63. Doubly Robust Monte Carlo Tree Search
  64. Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
  65. Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
  66. Delayed Feedback Modeling with Influence Functions
  67. Entropy-based measure of rock sample heterogeneity derived from micro-CT images
  68. Explainable AI for Sentiment Analysis of Human Metapneumovirus (HMPV) Using XLNet
  69. Fast Large Language Model Collaborative Decoding via Speculation
  70. RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
  71. Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity
  72. M+: Extending MemoryLLM with Scalable Long-Term Memory
  73. Functional role of synchronization: A mean-field control perspective
  74. Converting Transformers into DGNNs Form
  75. Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition
  76. Uniform-in-time weak propagation of chaos for consensus-based optimization
  77. Contrastive Forward-Forward: A Training Algorithm of Vision Transformer
  78. Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
  79. Lessons for GenAI Literacy From a Field Study of Human-GenAI Augmentation in the Workplace
  80. Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
  81. Deep learning model for ECG reconstruction reveals the information content of ECG leads
  82. Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
  83. Active Learning with Bayesian Multi-Fidelity Laplace Neural Operators for Oscillatory Parametric PDEs
  84. Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition
  85. Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis
  86. VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility
  87. Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants
  88. CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
  89. Work-Efficient Parallel Non-Maximum Suppression Kernels
  90. Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
  91. Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
  92. CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance
  93. A statistically consistent measure of semantic uncertainty using Language Models
  94. Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
  95. Discovering Directly-Follows Graph Model for Acyclic Processes
  96. Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
  97. Looking into the Future of Health-Care Services: Can Life-Like Agents Change the Future of Health-Care Services?
  98. Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
  99. Oscillations Make Neural Networks Robust to Quantization
  100. Learn Singularly Perturbed Solutions via Homotopy Dynamics
All 186
  1. A framework for river connectivity classification using temporal image processing and attention based neural networks
  2. Binned Spectral Power Loss for Improved Prediction of Chaotic Systems
  3. On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization
  4. Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation
  5. Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions
  6. Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent
  7. AudioGenX: Explainability on Text-to-Audio Generative Models
  8. Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know
  9. Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities
  10. HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering
  11. Model-Free Predictive Control: Introductory Algebraic Calculations, and a Comparison with HEOL and ANNs
  12. UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs
  13. SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models
  14. Compilation and Fast Model Counting beyond CNF
  15. How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
  16. High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
  17. Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language
  18. Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
  19. Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments
  20. Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework
  21. TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding
  22. Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems
  23. Segment Anything for Histopathology
  24. Causal Abstraction Learning based on the Semantic Embedding Principle
  25. Exploring Linear Attention Alternative for Single Image Super-Resolution
  26. Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors
  27. Spectro-Riemannian Graph Neural Networks
  28. Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
  29. FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
  30. RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes
  31. Efficient Adaptive Label Refinement for Label Noise Learning
  32. The Impact of Persona-based Political Perspectives on Hateful Content Detection
  33. Masked Generative Nested Transformers with Decode Time Scaling
  34. CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits
  35. Latent Action Learning Requires Supervision in the Presence of Distractors
  36. When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation
  37. SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks
  38. Scalable Framework for Classifying AI-Generated Content Across Modalities
  39. A Unit-based System and Dataset for Expressive Direct Speech-to-Speech Translation
  40. Generalized Lie Symmetries in Physics-Informed Neural Operators
  41. Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
  42. What should an AI assessor optimise for?
  43. Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in a Wisconsin Case Study
  44. Shape from Semantics: 3D Shape Generation from Multi-View Semantics
  45. Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
  46. Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
  47. Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection
  48. CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
  49. FinchGPT: a Transformer based language model for birdsong analysis
  50. Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering
  51. Unlocking Full Efficiency of Token Filtering in Large Language Model Training
  52. Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions
  53. OneForecast: A Universal Framework for Global and Regional Weather Forecasting
  54. CoddLLM: Empowering Large Language Models for Data Analytics
  55. MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
  56. MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling
  57. k-SVD with Gradient Descent
  58. Physics-Inspired Distributed Radio Map Estimation
  59. Sub-Sequential Physics-Informed Learning with State Space Model
  60. MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model
  61. Sparse Gradient Compression for Fine-Tuning Large Language Models
  62. SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition
  63. Decentralized Inference for Spatial Data Using Low-Rank Models
  64. DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
  65. HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
  66. Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions
  67. Contextual Morphogenesis in Large Language Models: A Novel Approach to Self-Organizing Token Representations
  68. Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
  69. The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
  70. Estimating LLM Uncertainty with Evidence
  71. TSMini: A Simple Yet Highly Effective Trajectory Similarity Learning Model
  72. GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
  73. On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
  74. Improving realistic semi-supervised learning with doubly robust estimation
  75. Regularized Langevin Dynamics for Combinatorial Optimization
  76. Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images
  77. DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks
  78. MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images
  79. Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
  80. ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
  81. Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising
  82. Transformer-Based Vector Font Classification Using Different Font Formats: TrueType versus PostScript
  83. Provably-Stable Neural Network-Based Control of Nonlinear Systems
  84. Context-Preserving Tensorial Reconfiguration in Large Language Model Training
  85. Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
  86. A Hybrid Random Forest and CNN Framework for Tile-Wise Oil-Water Classification in Hyperspectral Images