mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 17 May 2024

197 papers

  1. TexPainter: Generative Mesh Texturing with Multi-view ConsistencyDiffusion models → 3D, point cloud and scene generation
  2. Enhancing Dialogue State Tracking Models through LLM-backed User-Agents SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
  3. Identifying Functionally Important Features with End-to-End Sparse Dictionary LearningMechanistic interpretability → Sparse autoencoder training and evaluation
  4. Flexible Motion In-betweening with Diffusion ModelsDiffusion models → Video generation
  5. Latent State Estimation Helps UI Agents to ReasonLLM reasoning → Reasoning for agents, planning and code +1
  6. Watermarking Language Models for Many Adaptive UsersLLM safety and security → Watermarking generated content and models
  7. LLM-based Multi-Agent Reinforcement Learning: Current and Future DirectionsLLM agents and tool use → Reinforcement learning for LLM agents
  8. DINO as a von Mises-Fisher mixture modelKnowledge distillation → General knowledge distillation methods
  9. The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural NetworksMechanistic interpretability → Circuits and mechanistic analysis
  10. Using Degeneracy in the Loss Landscape for Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
  11. Improving face generation quality and prompt following with synthetic captionsDiffusion models → Image generation, text-to-image and editing
  12. ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning ChainsLLM reasoning → Audio-language model reasoning
  13. CTS: Concurrent Teacher-Student Reinforcement Learning for Legged LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
  14. Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and OpportunitiesLLM reasoning → Reasoning benchmarks and evaluation
  15. Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse ProblemsDiffusion models → Inverse problems and image restoration
  16. Efficient Multimodal Large Language Models: A SurveyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  17. LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image CompletionDiffusion models → Medical imaging and segmentation
  18. Layer-Condensed KV Cache for Efficient Inference of Large Language ModelsEfficient LLM inference and serving → KV cache optimization
  19. Sample-Efficient Constrained Reinforcement Learning with General ParameterizationDeep reinforcement learning methods → RL theory and sample complexity
  20. MC-GPT: Empowering Vision-and-Language Navigation with Memory Map and Reasoning ChainsLLM reasoning → Spatial and embodied reasoning
  21. Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision TransformersLLM safety and security → Backdoor and data poisoning attacks
  22. Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object SegmentationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  23. An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic SystemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  24. LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionDiffusion models → Inverse problems and image restoration
  25. Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage ControlDeep reinforcement learning methods → RL for energy, networks and operations
  26. CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic SegmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  27. Safeguarding Vision-Language Models Against Patched Visual Prompt InjectorsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  28. ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes GenerationDiffusion models → 3D, point cloud and scene generation
  29. Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' PromptingLLM reasoning → Reasoning benchmarks and evaluation
  30. False consensus biases AI against vulnerable stakeholders
  31. Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis
  32. Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
  33. ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving
  34. Better Sampling, towards Better End-to-end Small Object Detection
  35. VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
  36. BugBlitz-AI: An Intelligent QA Assistant
  37. Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
  38. Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
  39. Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
  40. Decision-making algorithm based on the energy of interval-valued fuzzy soft sets
  41. Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
  42. StoryVerse: Towards Co-authoring Dynamic Plot with LLM-based Character Simulation via Narrative Planning
  43. Assessing Political Bias in Large Language Models
  44. Surgical Feature-Space Decomposition of LLMs: Why, When and How?
  45. An Explanatory Model Steering System for Collaboration between Domain Experts and AI
  46. Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models
  47. A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base
  48. AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
  49. Dynamic Embeddings with Task-Oriented prompting
  50. Enhancing Understanding Through Wildlife Re-Identification
  51. Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations
  52. Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
  53. AudioSetMix: Enhancing Audio-Language Datasets with LLM-Assisted Augmentations
  54. Multilingual Substitution-based Word Sense Induction
  55. Prompt Exploration with Prompt Regression
  56. FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
  57. Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
  58. Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
  59. TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
  60. Frugal Algorithm Selection
  61. A Comparative Study of Garment Draping Techniques
  62. Leveraging Discourse Structure for Extractive Meeting Summarization
  63. The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
  64. From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT
  65. CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
  66. Safety in Graph Machine Learning: Threats and Safeguards
  67. The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content
  68. Generative Artificial Intelligence: A Systematic Review and Applications
  69. GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
  70. Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery
  71. The Arabic Noun System Generation
  72. ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting
  73. Uncertainty Distribution Assessment of Jiles-Atherton Parameter Estimation for Inrush Current Studies
  74. Petri nets in modelling glucose regulating processes in the liver
  75. A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence
  76. Generative modeling of Sparse Approximate Inverse Preconditioners
  77. Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
  78. Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows
  79. Observational Scaling Laws and the Predictability of Language Model Performance
  80. A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
  81. Reconstruction of Manipulated Garment with Guided Deformation Prior
  82. Learning low-degree quantum objects
  83. Submodular Information Selection for Hypothesis Testing with Misclassification Penalties
  84. High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates
  85. Boosting Few-Pixel Robustness Verification via Covering Verification Designs
  86. A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
  87. Blackbox Adaptation for Medical Image Segmentation
  88. Efficient Line Search Method Based on Regression and Uncertainty Quantification
  89. COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
  90. A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
  91. FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
  92. Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review
  93. One registration is worth two segmentations
  94. WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
  95. Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees
  96. BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions
  97. Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
  98. Air Signing and Privacy-Preserving Signature Verification for Digital Documents
  99. Tailoring Vaccine Messaging with Common-Ground Opinions
  100. The Future of Large Language Model Pre-training is Federated
All 197
  1. KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions
  2. Automated Radiology Report Generation: A Review of Recent Advances
  3. Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
  4. Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans
  5. Open-Vocabulary Spatio-Temporal Action Detection
  6. Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
  7. Generative modeling through internal high-dimensional chaotic activity
  8. Restless Linear Bandits
  9. A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization
  10. Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
  11. ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
  12. A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
  13. Reduced storage direct tensor ring decomposition for convolutional neural networks compression
  14. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
  15. Training Compute Thresholds: Features and Functions in AI Regulation
  16. Baseline Results for Selected Nonlinear System Identification Benchmarks
  17. What should be observed for optimal reward in POMDPs?
  18. Evaluating Saliency Explanations in NLP by Crowdsourcing
  19. Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
  20. Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
  21. Stable Phase Retrieval with Mirror Descent
  22. Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
  23. Causality in the Can: Diet Coke's Impact on Fatness
  24. Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
  25. SBAAM! Eliminating Transcript Dependency in Automatic Subtitling
  26. Feature-Adaptive and Data-Scalable In-Context Learning
  27. StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
  28. Contestable AI needs Computational Argumentation
  29. INDUS: Effective and Efficient Language Models for Scientific Applications
  30. Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
  31. ℓ1-Regularized Generalized Least Squares
  32. SignLLM: Sign Language Production Large Language Models
  33. Persian Pronoun Resolution: Leveraging Neural Networks and Language Models
  34. Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought
  35. HARIS: Human-Like Attention for Reference Image Segmentation
  36. Challenging the Human-in-the-loop in Algorithmic Decision-making
  37. 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning
  38. Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation
  39. SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
  40. Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling
  41. CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing
  42. Revolutionizing Process Mining: A Novel Architecture for ChatGPT Integration and Enhanced User Experience through Optimized Prompt Engineering
  43. Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
  44. From Sora What We Can See: A Survey of Text-to-Video Generation
  45. Realistic Evaluation of Toxicity in Large Language Models
  46. Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning
  47. SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation
  48. Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
  49. ChatGPT in Classrooms: Transforming Challenges into Opportunities in Education
  50. Hi-GMAE: Hierarchical Graph Masked Autoencoders
  51. Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks
  52. Towards interactive evaluations for interaction harms in human-AI systems
  53. Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges
  54. DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts
  55. Dynamic data sampler for cross-language transfer learning in large language models
  56. Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction
  57. Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
  58. Distributed Event-Based Learning via ADMM
  59. Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
  60. A Certified Proof Checker for Deep Neural Network Verification in Imandra
  61. ECATS: Explainable-by-design concept-based anomaly detection for time series
  62. Top-Down Guidance for Learning Object-Centric Representations
  63. UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
  64. GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision
  65. Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
  66. RDRec: Rationale Distillation for LLM-based Recommendation
  67. A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
  68. Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes
  69. A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models
  70. DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection
  71. Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
  72. Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI
  73. Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track
  74. Function Extrapolation with Neural Networks and Its Application for Manifolds
  75. Infrared Image Super-Resolution via Lightweight Information Split Network
  76. Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation
  77. NeRO: Neural Road Surface Reconstruction
  78. Data Science Principles for Interpretable and Explainable AI
  79. Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
  80. Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
  81. Nonparametric Teaching of Implicit Neural Representations
  82. Adaptable and Reliable Text Classification using Large Language Models
  83. Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
  84. Towards Better Question Generation in QA-based Event Extraction
  85. Language Models can Evaluate Themselves via Probability Discrepancy
  86. Improved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network
  87. Federated Learning With Energy Harvesting Devices: An MDP Framework
  88. In-context Contrastive Learning for Event Causality Identification
  89. Multi-scale Semantic Prior Features Guided Deep Neural Network for Urban Street-view Image
  90. SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge
  91. Automatic News Generation and Fact-Checking System Based on Language Processing
  92. Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
  93. MixCut:A Data Augmentation Method for Facial Expression Recognition
  94. CNER: A tool Classifier of Named-Entity Relationships
  95. Multi-Evidence based Fact Verification via A Confidential Graph Neural Network
  96. Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  97. Analysis, Modeling and Design of Personalized Digital Learning Environment