mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 22 Jan 2024

224 papers

  1. Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context DetectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  2. Detecting Multimedia Generated by Large AI Models: A SurveyDiffusion models → Image generation, text-to-image and editing
  3. Enhancing In-context Learning via Linear Probe CalibrationMechanistic interpretability → Activation steering methods
  4. The Ethics of Interaction: Mitigating Security Threats in LLMsLLM safety and security → Safety alignment, refusal and guardrails
  5. Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  6. Retrieval-Guided Reinforcement Learning for Boolean Circuit MinimizationDeep reinforcement learning methods → RL for energy, networks and operations
  7. WARM: On the Benefits of Weight Averaged Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  8. Universal Neurons in GPT2 Language ModelsMechanistic interpretability → Circuits and mechanistic analysis
  9. DITTO: Diffusion Inference-Time T-Optimization for Music GenerationDiffusion models → Audio, speech and music
  10. Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRMDiffusion models → 3D, point cloud and scene generation
  11. SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning CapabilitiesLLM reasoning → Spatial and embodied reasoning +1
  12. The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  13. West-of-N: Synthetic Preferences for Self-Improving Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  14. Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV TrackingDeep reinforcement learning methods → RL for robot navigation and UAV control
  15. HomeRobot Open Vocabulary Mobile Manipulation Challenge 2023 Participant Report (Team KuzHum)Deep reinforcement learning methods → RL for robot locomotion and manipulation
  16. Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid AlgorithmsDeep reinforcement learning methods → RL for games and combinatorial optimization
  17. Feature Denoising Diffusion Model for Blind Image Quality AssessmentDiffusion models → Diffusion foundations and sampling
  18. CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding BenchmarkMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. Benchmarking Large Multimodal Models against Common CorruptionsLLM reasoning → Multimodal reasoning +1
  20. PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System SafetyLLM agents and tool use → Agent threats, guardrails and governance
  21. Distilling Mathematical Reasoning Capabilities into Small Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  22. Rethinking Centered Kernel Alignment in Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  23. SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in ChineseLLM reasoning → Mathematical reasoning
  24. Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic PredictionKnowledge distillation → Graph neural network distillation
  25. Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and DemonstrationsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  26. Towards Effective and General Graph Unlearning via Mutual EvolutionLLM safety and security → Graph unlearning
  27. EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion ModelsDiffusion models → Medical imaging and segmentation
  28. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  29. Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-end Speech RecognisersKnowledge distillation → Speech and audio distillation
  30. P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling
  31. Differentiable Tree Search NetworkWorld models → Latent dynamics models and model-based RL
  32. M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
  33. Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal LossMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
  34. Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
  35. Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation
  36. LLM-based policy generation for intent-based management of applications
  37. Navigating the Maize: Cyclic and conditional computational graphs for molecular simulation
  38. Applications, challenges and ethical issues of AI and ChatGPT in education
  39. Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
  40. An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework
  41. "Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students
  42. A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation
  43. SMUTF: Schema Matching Using Generative Tags and Hybrid Features
  44. A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithm
  45. Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
  46. Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
  47. Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
  48. A note on the capacity of the binary perceptron
  49. Accelerating Material Property Prediction using Generically Complete Isometry Invariants
  50. Design & Implementation of Automatic Machine Condition Monitoring and Maintenance System in Limited Resource Situations
  51. Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear Classifier
  52. Acoustic characterization of speech rhythm: going beyond metrics with recurrent neural networks
  53. Using Java Geometry Expert as Guide in the Preparations for Math Contests
  54. Solving Some Geometry Problems of the N'aboj 2023 Contest with Automated Deduction in GeoGebra Discovery
  55. Towards Automated Readable Proofs of Ruler and Compass Constructions
  56. Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
  57. Theorem Discovery Amongst Cyclic Polygons
  58. PatternPortrait: Draw Me Like One of Your Scribbles
  59. Quantum-Inspired Machine Learning for Molecular Docking
  60. How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data
  61. Declarative Privacy-Preserving Inference Queries
  62. Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing
  63. Longitudinal Sentiment Classification of Reddit Posts
  64. Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesis
  65. Development of an NLP-driven computer-based test guide for visually impaired students
  66. SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
  67. VC dimension of Graph Neural Networks with Pfaffian activation functions
  68. Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
  69. Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
  70. OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection
  71. Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS
  72. Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation
  73. A Precise Characterization of SGD Stability Using Loss Surface Geometry
  74. Towards a prioritised use of transportation infrastructures: the case of vehicle-specific dynamic access restrictions to city centres
  75. Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
  76. Streamlining Advanced Taxi Assignment Strategies based on Legal Analysis
  77. Smart Recommendations for Renting Bikes in Bike Sharing Systems
  78. Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
  79. GRATH: Gradual Self-Truthifying for Large Language Models
  80. Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
  81. Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure
  82. Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
  83. Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
  84. Exploring Simple Open-Vocabulary Semantic Segmentation
  85. Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models
  86. Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
  87. A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
  88. Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
  89. Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources
  90. OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
  91. APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  92. LONEStar: The Lunar Flashlight Optical Navigation Experiment
  93. Learning Dynamics from Multicellular Graphs with Deep Neural Networks
  94. Text Embedding Inversion Security for Multilingual Language Models
  95. In-Context Learning for Extreme Multi-Label Classification
  96. Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses
  97. Natural Strategic Ability in Stochastic Multi-Agent Systems
  98. Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE
  99. Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
  100. Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
All 224
  1. Anisotropy Is Inherent to Self-Attention in Transformers
  2. VRMN-bD: A Multi-modal Natural Behavior Dataset of Immersive Human Fear Responses in VR Stand-up Interactive Games
  3. Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence MRI
  4. NeuroSynt: A Neuro-symbolic Portfolio Solver for Reactive Synthesis
  5. Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
  6. Extracting Formulae in Many-Valued Logic from Deep Neural Networks
  7. On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data
  8. LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
  9. An Empirical Study of In-context Learning in LLMs for Machine Translation
  10. Unsupervised Learning of Graph from Recipes
  11. Revisiting Demonstration Selection Strategies in In-Context Learning
  12. Temporal Blind Spots in Large Language Models
  13. DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI
  14. Cross-lingual Transfer Learning for Javanese Dependency Parsing
  15. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
  16. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
  17. Resource-constrained stereo singing voice cancellation
  18. The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
  19. NEUROSEC: FPGA-Based Neuromorphic Audio Security
  20. CloSe: A 3D Clothing Segmentation Dataset and Model
  21. Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
  22. Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling
  23. Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
  24. MINT: A wrapper to make multi-modal and multi-image AI models interactive
  25. Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
  26. Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
  27. Robustness to distribution shifts of compressed networks for edge devices
  28. TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
  29. Tensor-view Topological Graph Neural Network
  30. ALMs: Authorial Language Models for Authorship Attribution
  31. NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction
  32. HgbNet: predicting hemoglobin level/anemia degree from EHR data
  33. Modeling Stereo-Confidence Out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
  34. Integrating Statistical Significance and Discriminative Power in Pattern Discovery
  35. Expert-Driven Monitoring of Operational ML Models
  36. Scaling Face Interaction Graph Networks to Real World Scenes
  37. Cross-Validation Conformal Risk Control
  38. Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing
  39. Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
  40. Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method
  41. RUMBoost: Gradient Boosted Random Utility Models
  42. Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
  43. Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
  44. A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network
  45. Large receptive field strategy and important feature extraction strategy in 3D object detection
  46. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
  47. Solving with GeoGebra Discovery an Austrian Mathematics Olympiad problem: Lessons Learned
  48. Considerations on Approaches and Metrics in Automated Theorem Generation/Finding in Geometry
  49. Automation of Triangle Ruler-and-Compass Constructions Using Constraint Solvers
  50. A Training-Free Defense Framework for Robust Learned Image Compression
  51. Showing Proofs, Assessing Difficulty with GeoGebra Discovery
  52. Automated Completion of Statements and Proofs in Synthetic Geometry: an Approach based on Constraint Solving
  53. Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
  54. Assessing the Efficacy of Deep Learning Approaches for Facial Expression Recognition in Individuals with Intellectual Disabilities
  55. Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure Analysis
  56. Toward Semantic Interoperability of Electronic Health Records
  57. A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
  58. LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution
  59. MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
  60. The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
  61. BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge
  62. Self-Labeling the Job Shop Scheduling Problem
  63. ExtruOnt: An ontology for describing a type of manufacturing machine for Industry 4.0 systems
  64. SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning
  65. Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
  66. Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
  67. Learning to Approximate Adaptive Kernel Convolution on Graphs
  68. AI for social science and social science of AI: A Survey
  69. Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
  70. Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI
  71. A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
  72. Sparse discovery of differential equations based on multi-fidelity Gaussian process
  73. Hallucination is Inevitable: An Innate Limitation of Large Language Models
  74. Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis
  75. Generalization and Informativeness of Conformal Prediction
  76. REVEX: A Unified Framework for Removal-Based Explainable Artificial Intelligence in Video
  77. Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
  78. Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review
  79. Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
  80. Collaborative Position Reasoning Network for Referring Image Segmentation
  81. LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
  82. ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
  83. Concealed Object Segmentation with Hierarchical Coherence Modeling
  84. FedGTA: Topology-aware Averaging for Federated Graph Learning
  85. From Knowledge Organization to Knowledge Representation and Back
  86. Boosting Multi-view Stereo with Late Cost Aggregation
  87. AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
  88. GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?
  89. Multi-level Cross-modal Alignment for Image Clustering
  90. MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
  91. Attention on Personalized Clinical Decision Support System: Federated Learning Approach
  92. Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
  93. Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
  94. Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
  95. Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models
  96. Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
  97. Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
  98. Graph Condensation: A Survey
  99. SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
  100. MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection
  101. Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council
  102. HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs
  103. Domain-Aware Cross-Attention for Cross-domain Recommendation
  104. EK-Net:Real-time Scene Text Detection with Expand Kernel Distance
  105. Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach
  106. Parametric Matrix Models
  107. TIM: An Efficient Temporal Interaction Module for Spiking Transformer
  108. Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks
  109. Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
  110. MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
  111. RTA-Former: Reverse Transformer Attention for Polyp Segmentation
  112. An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
  113. INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
  114. Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
  115. Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM
  116. ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
  117. OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
  118. PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis
  119. Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
  120. Resource-efficient Layer-wise Federated Self-supervised Learning
  121. Multivariate Density Estimation via Variance-Reduced Sketching
  122. Streaming Bilingual End-to-End ASR model using Attention over Multiple Softmax
  123. Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition
  124. Revolutionizing Finance with LLMs: An Overview of Applications and Insights