mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 3 Aug 2024

107 papers

  1. DDIM Redux: Mathematical Foundation and Some ExtensionDiffusion models → Diffusion foundations and sampling
  2. Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Factors: A Statistical-Driven LLM based Agent ApproachLLM agents and tool use → Multimodal and embodied agents
  3. Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation ToolsLLM agents and tool use → Medical and scientific domain agents
  4. PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  5. Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion ModelsDiffusion models → Flow matching, time series and science
  6. Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-ExplorationLLM reasoning → Knowledge- and tool-augmented reasoning
  7. MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceRetrieval-augmented generation → Medical and biomedical RAG +1
  8. GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion TransformerDiffusion models → Audio, speech and music
  9. Leveraging BEV Paradigm for Ground-to-Aerial Image SynthesisDiffusion models → Diffusion and flow policies for robotics
  10. MiniCPM-V: A GPT-4V Level MLLM on Your PhoneMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  11. MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical ProblemsLLM reasoning → Mathematical reasoning +1
  12. Building Living Software Systems with Generative & Agentic AILLM agents and tool use → Software engineering coding agents
  13. Landmark-guided Diffusion Model for High-fidelity and Temporally Coherent Talking Head GenerationDiffusion models → Audio, speech and music
  14. The Drama Machine: Simulating Character Development with LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
  15. WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code VisualizationLLM agents and tool use → General LLM agent frameworks and benchmarks
  16. Controllable Unlearning for Image-to-Image Generative Models via varepsilon-Constrained OptimizationLLM safety and security → Vision-language and text-to-image safety
  17. Multi-Frame Vision-Language Model for Long-form Reasoning in Driver Behavior AnalysisLLM reasoning → Chain-of-thought reasoning for driving +1
  18. Deep Reinforcement Learning for Dynamic Order Picking in Warehouse OperationsDeep reinforcement learning methods → RL for energy, networks and operations
  19. Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic LearningDeep reinforcement learning methods → RL theory and sample complexity
  20. Self-Emotion Blended Dialogue Generation in Social Simulation AgentsLLM agents and tool use → Social simulation and multi-agent debate
  21. JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba ModelState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  22. State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey
  23. Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
  24. Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
  25. CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization
  26. Chain of Stance: Stance Detection with Large Language Models
  27. Distinguishing Chatbot from Human
  28. Efficacy of Large Language Models in Systematic Reviews
  29. Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case of the ungauged Rheraya watershed, Morocco
  30. Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
  31. FBINeRF: Feature-Based Integrated Recurrent Network for Pinhole and Fisheye Neural Radiance Fields
  32. Improving Zero-Shot ObjectNav with Generative Communication
  33. Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
  34. Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
  35. Meta-Posterior Consistency for the Bayesian Inference of Metastable System
  36. Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
  37. Batch Active Learning in Gaussian Process Regression using Derivatives
  38. Graph Unfolding and Sampling for Transitory Video Keyframe Selection via Gershgorin Disc Alignment
  39. Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems
  40. S'olo Esc'uchame: Spanish Emotional Accompaniment Chatbot
  41. Cost-constrained multi-label group feature selection using shadow features
  42. Supervised Image Translation from Visible to Infrared Domain for Object Detection
  43. E3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images
  44. Optimal Local Convergence Rates of Stochastic First-Order Methods under Local α-PL
  45. Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis
  46. TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
  47. A Deep CNN Model for Ringing Effect Attenuation of Vibroseis Data
  48. Neural Network Emulator for Atmospheric Chemical ODE
  49. ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
  50. ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features
  51. STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
  52. NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
  53. Review of Cloud Service Composition for Intelligent Manufacturing
  54. Towards an ontology of state actors in cyberspace
  55. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios
  56. Comparison of Embedded Spaces for Deep Learning Classification
  57. MultiFuser: Multimodal Fusion Transformer for Enhanced Driver Action Recognition
  58. Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning
  59. Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification
  60. Discovery of Rare Causal Knowledge from Financial Statement Summaries
  61. Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution
  62. Domain penalisation for improved Out-of-Distribution Generalisation
  63. Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction
  64. Summarization of Investment Reports Using Pre-trained Model
  65. LAM3D: Leveraging Attention for Monocular 3D Object Detection
  66. Can LLMs predict the convergence of Stochastic Gradient Descent?
  67. Real-time Hybrid System Identification with Online Deterministic Annealing
  68. Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality
  69. A Novel Evaluation Framework for Image2Text Generation
  70. Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing
  71. Joint Universal Adversarial Perturbations with Interpretations
  72. Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
  73. A General Ambiguity Model for Binary Edge Images with Edge Tracing and its Implementation
  74. AVESFormer: Efficient Transformer Design for Real-Time Audio-Visual Segmentation
  75. Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
  76. Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics
  77. Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
  78. Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
  79. Generating High-quality Symbolic Music Using Fine-grained Discriminators
  80. Bayesian Active Learning for Semantic Segmentation
  81. A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection
  82. TreeCSS: An Efficient Framework for Vertical Federated Learning
  83. IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection
  84. SiamMo: Siamese Motion-Centric 3D Object Tracking
  85. MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph
  86. iControl3D: An Interactive System for Controllable 3D Scene Generation
  87. HIVE: HIerarchical Volume Encoding for Neural Implicit Surface Reconstruction
  88. radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction from Millimeter-Wave Radar
  89. SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses
  90. Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection
  91. SAT3D: Image-driven Semantic Attribute Transfer in 3D
  92. Principal component analysis balancing prediction and approximation accuracy for spatial data
  93. Stimulating Imagination: Towards General-purpose "Something Something Placement"
  94. Deep Patch Visual SLAM
  95. MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
  96. Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover Design
  97. Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
  98. Neural Term Structure of Additive Process for Option Pricing
  99. Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation
  100. Transforming Slot Schema Induction with Generative Dialogue State Inference
All 107
  1. A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
  2. Fair Risk Minimization under Causal Path-Specific Effect Constraints
  3. Dialog Flow Induction for Constrainable LLM-Based Chatbots
  4. Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations
  5. MedUHIP: Towards Human-In-the-Loop Medical Segmentation
  6. Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment
  7. Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality