mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 5 Jul 2024

237 papers

  1. MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion ImitationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  2. Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context AgentLLM agents and tool use → Educational agents and math problem solving
  3. Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model AssessmentsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  4. Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular MetaversesDiffusion models → Diffusion and flow policies for robotics
  5. Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning RatesKnowledge distillation → General knowledge distillation methods
  6. Augmented Bayesian Policy SearchDeep reinforcement learning methods → RL theory and sample complexity
  7. Question Answering with Texts and Tables through Deep Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  8. Explorative Imitation Learning: A Path Signature Approach for Continuous EnvironmentsOffline RL and imitation learning from data → Imitation learning methods
  9. MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?Diffusion models → Image generation, text-to-image and editing +1
  10. Simplifying Deep Temporal Difference LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  11. The Impact of Quantization and Pruning on Deep Reinforcement Learning ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
  12. On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial AttacksLLM safety and security → Watermarking generated content and models
  13. Rethinking Visual Prompting for Multimodal Large Language Models with External KnowledgeLLM reasoning → Multimodal reasoning +1
  14. Lazarus: Resilient and Elastic Training of Mixture-of-Experts ModelsMixture-of-experts → Efficient MoE training and inference systems
  15. Learning to (Learn at Test Time): RNNs with Expressive Hidden StatesState-space sequence models (S4, Mamba) → Core SSM architectures for language
  16. On the Low-Rank Parametrization of Reward Models for Controlled Language GenerationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  17. AWT: Transferring Vision-Language Models via Augmentation, Weighting, and TransportationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  18. Understanding the Gains from Repeated Self-DistillationKnowledge distillation → General knowledge distillation methods
  19. Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare SectorLLM safety and security → Machine unlearning
  20. Vector Retrieval with Similarity and Diversity: How Hard Is It?Retrieval-augmented generation → Vector search and ANN indexes
  21. Structural Constraint Integration in Generative Model for Discovery of Quantum Material CandidatesDiffusion models → Flow matching, time series and science
  22. Spontaneous Reward Hacking in Iterative Self-RefinementLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
  23. GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-TuningRetrieval-augmented generation → RAG pipeline design and evaluation
  24. Graph Reinforcement Learning for Power Grids: A Comprehensive SurveyDeep reinforcement learning methods → RL for energy, networks and operations
  25. Unified continuous-time q-learning for mean-field game and mean-field control problemsDeep reinforcement learning methods → RL for games and combinatorial optimization
  26. Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transportDiffusion models → Diffusion foundations and sampling
  27. PROUD: PaRetO-gUided Diffusion Model for Multi-objective GenerationDiffusion models → Diffusion foundations and sampling
  28. Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  29. Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning TasksDeep reinforcement learning methods → RL for autonomous driving and traffic
  30. VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided TexturingDiffusion models → 3D, point cloud and scene generation
  31. Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMsLLM safety and security → Watermarking generated content and models
  32. AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsWorld models → World models for language agents +1
  33. MobileFlow: A Multimodal LLM For Mobile GUI AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  34. Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  35. Jailbreak Attacks and Defenses Against Large Language Models: A SurveyLLM safety and security → Jailbreaking
  36. Tackling Data Corruption in Offline Reinforcement Learning via Sequence ModelingOffline RL and imitation learning from data → Offline RL algorithms
  37. WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
  38. Q-Learning under Finite Model UncertaintyDeep reinforcement learning methods → RL theory and sample complexity
  39. Reinforcement Learning for Unsupervised Video Summarization with Reward Generator TrainingDeep reinforcement learning methods → RL training of language and agent models
  40. A Multi-Step Minimax Q-learning Algorithm for Two-Player Zero-Sum Markov GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  41. GSD: View-Guided Gaussian Splatting Diffusion for 3D ReconstructionDiffusion models → 3D, point cloud and scene generation
  42. PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  43. Autoverse: An Evolvable Game Language for Learning Robust Embodied AgentsOffline RL and imitation learning from data → Imitation learning methods
  44. An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Multimodal RAG
  45. T2IShield: Defending Against Backdoors on Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
  46. Smart Vision-Language ReasonersLLM reasoning → Multimodal reasoning +1
  47. TimeLDM: Latent Diffusion Model for Unconditional Time Series GenerationDiffusion models → Flow matching, time series and science
  48. Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  49. Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview
  50. PatchEX: High-Quality Real-Time Temporal Supersampling through Patch-based Parallel Extrapolation
  51. Identifying the Source of Generation for Large Language Models
  52. ISQuant: apply squant to the real deployment
  53. Optimal estimators of cross-partial derivatives and surrogates of functions
  54. Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
  55. Benchmarking GNNs Using Lightning Network Data
  56. UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
  57. Hybrid Machine Learning Approach For Real-Time Malicious Url Detection Using Som-Rmo And Rbfn With Tabu Search Optimization
  58. Maximizing utility in multi-agent environments by anticipating the behavior of other learners
  59. Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
  60. Automating Venture Capital: Founder assessment using LLM-powered segmentation, feature engineering and automated labeling techniques
  61. Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy
  62. Improving ensemble extreme precipitation forecasts using generative artificial intelligence
  63. Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts
  64. Evaluating Language Models for Generating and Judging Programming Feedback
  65. A Defeasible Deontic Calculus for Resolving Norm Conflicts
  66. Looking into Black Box Code Language Models
  67. Explainable Metric Learning for Deflating Data Bias
  68. Kullback-Leibler Barycentre of Stochastic Processes
  69. Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding
  70. Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
  71. Statistical investigations into the geometry and homology of random programs
  72. Amazing Things Come From Having Many Good Models
  73. Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
  74. Associative Recurrent Memory Transformer
  75. 3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition
  76. Code Hallucination
  77. YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
  78. RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KAN
  79. Object recognition in primates: What can early visual areas contribute?
  80. D3: Deep Deconvolution Deblurring for Natural Images
  81. Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets
  82. Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis
  83. Fair Submodular Cover
  84. Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing
  85. Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
  86. Toucan: Many-to-Many Translation for 150 African Language Pairs
  87. Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
  88. Agnostic Private Density Estimation for GMMs via List Global Stability
  89. SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
  90. Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
  91. SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
  92. A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
  93. LaRa: Efficient Large-Baseline Radiance Fields
  94. VCoME: Verbal Video Composition with Multimodal Editing Effects
  95. Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
  96. ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
  97. Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks
  98. RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
  99. Enhancing Vehicle Re-identification and Matching for Weaving Analysis
  100. Embracing Massive Medical Data
All 237
  1. Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology
  2. Lost in Translation: The Algorithmic Gap Between LMs and the Brain
  3. XQSV: A Structurally Variable Network to Imitate Human Play in Xiangqi
  4. Is plantar thermography a valid digital biomarker for characterising diabetic foot ulceration risk?
  5. The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks
  6. Unsupervised 4D Cardiac Motion Tracking with Spatiotemporal Optical Flow Networks
  7. Multitaper mel-spectrograms for keyword spotting
  8. Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units
  9. SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
  10. Efficient Materials Informatics between Rockets and Electrons
  11. Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models
  12. Semi-Supervised Segmentation via Embedding Matching
  13. An autoencoder for compressing angle-resolved photoemission spectroscopy data
  14. Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
  15. On scalable oversight with weak LLMs judging strong LLMs
  16. OneRestore: A Universal Restoration Framework for Composite Degradation
  17. CountGD: Multi-Modal Open-World Counting
  18. Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation
  19. Isomorphic Pruning for Vision Models
  20. Linear causal disentanglement via higher-order cumulants
  21. PartCraft: Crafting Creative Objects by Parts
  22. Written Term Detection Improves Spoken Term Detection
  23. Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
  24. Manipulating language models' training data to study syntactic constraint learning: the case of English passivization
  25. Smell and Emotion: Recognising emotions in smell-related artworks
  26. Proximal Point Method for Online Saddle Point Problem
  27. SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry
  28. Multimodal Classification via Modal-Aware Interactive Enhancement
  29. Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
  30. GOALPlace: Begin with the End in Mind
  31. Real Time Emotion Analysis Using Deep Learning for Education, Entertainment, and Beyond
  32. Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition
  33. An AI Architecture with the Capability to Classify and Explain Hardware Trojans
  34. Real-time Timbre Remapping with Differentiable DSP
  35. Gaussian Eigen Models for Human Heads
  36. Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
  37. Rethinking Image Compression on the Web with Generative AI
  38. PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
  39. Improved algorithms for learning quantum Hamiltonians, via flat polynomials
  40. PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
  41. Introducing 'Inside' Out of Distribution
  42. Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect
  43. Augmenting learning in neuro-embodied systems through neurobiological first principles
  44. Judging from Support-set: A New Way to Utilize Few-Shot Segmentation for Segmentation Refinement Process
  45. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
  46. LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order
  47. Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors
  48. Hyperspectral Dataset and Deep Learning methods for Waste from Electric and Electronic Equipment Identification (WEEE)
  49. Segment Any 4D Gaussians
  50. When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings
  51. Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data
  52. Micro-gesture Online Recognition using Learnable Query Points
  53. Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
  54. Leveraging Graph Structures to Detect Hallucinations in Large Language Models
  55. Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain
  56. Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models
  57. LoCo: Low-Bit Communication Adaptor for Large-scale Model Training
  58. Rethinking Data Input for Point Cloud Upsampling
  59. EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
  60. Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games
  61. Using LLMs to label medical papers according to the CIViC evidence model
  62. Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
  63. Generalists vs. Specialists: Evaluating Large Language Models for Urdu
  64. Robust Multimodal Learning via Representation Decoupling
  65. Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
  66. Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
  67. TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR
  68. Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
  69. From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs
  70. The Complexity of Symmetry Breaking Beyond Lex-Leader
  71. Enabling On-Device LLMs Personalization with Smartphone Sensing
  72. Trustworthy Classification through Rank-Based Conformal Prediction Sets
  73. Quantum Channel Learning
  74. Discovering physical laws with parallel symbolic enumeration
  75. Hard-Attention Gates with Gradient Routing for Endoscopic Image Computing
  76. FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training
  77. Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems
  78. Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
  79. Self-Supervised Representation Learning for Adversarial Attack Detection
  80. Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
  81. A systematic review on expert systems for improving energy efficiency in the manufacturing industry
  82. Exploiting the equivalence between quantum neural networks and perceptrons
  83. Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
  84. ZARRIO @ Ego4D Short Term Object Interaction Anticipation Challenge: Leveraging Affordances and Attention-based models for STA
  85. Romanization Encoding For Multilingual ASR
  86. Towards Context-aware Support for Color Vision Deficiency: An Approach Integrating LLM and AR
  87. Shape Prior Segmentation Guided by Harmonic Beltrami Signature
  88. Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing
  89. An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
  90. Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
  91. Segmenting Medical Images: From UNet to Res-UNet and nnUNet
  92. UpStory: the Uppsala Storytelling dataset
  93. CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images
  94. Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding
  95. AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
  96. Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
  97. Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
  98. MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss
  99. EAGERx: Graph-Based Framework for Sim2real Robot Learning
  100. TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking
  101. LMSeg: An end-to-end geometric message-passing network on barycentric dual graphs for large-scale landscape mesh segmentation
  102. Understanding the Role of Invariance in Transfer Learning
  103. Knowledge-based Drug Samples' Comparison
  104. SSP-GNN: Learning to Track via Bilevel Optimization
  105. Crafting Large Language Models for Enhanced Interpretability
  106. Towards Stable 3D Object Detection
  107. Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions
  108. Systematic Evaluation of Online Speaker Diarization Systems Regarding their Latency
  109. Rethinking Speaker Embeddings for Speech Generation: Sub-Center Modeling for Capturing Intra-Speaker Diversity
  110. MARS: Paying more attention to visual attributes for text-based person search
  111. LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech
  112. BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
  113. Event-based vision sensing and its application to pedestrian detection for intelligent transportation and surveillance
  114. Fine-grained Dynamic Network for Generic Event Boundary Detection
  115. Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
  116. Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
  117. NeuFair: Neural Network Fairness Repair with Dropout
  118. Parametric Curve Segment Extraction by Support Regions
  119. Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials
  120. Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
  121. Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge
  122. Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
  123. FeatureSORT: Essential Features for Effective Tracking
  124. Machine Learning for Complex Systems with Abnormal Pattern by Exception Maximization Outlier Detection Method
  125. ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content
  126. Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
  127. Exploration of Class Center for Fine-Grained Visual Classification
  128. Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
  129. AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
  130. Graph Pooling via Ricci Flow
  131. Efficient Generative Adversarial Networks for Color Document Image Enhancement and Binarization Using Multi-scale Feature Extraction
  132. A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation
  133. Batch Transformer: Look for Attention in Batch
  134. AMD: Automatic Multi-step Distillation of Large-scale Vision Models
  135. DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
  136. KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics
  137. Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset