mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 15 Jun 2024

145 papers

  1. MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  2. EvIL: Evolution Strategies for Generalisable Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  3. FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  4. Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH SpacecraftDiffusion models → Inverse problems and image restoration
  5. RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for RoboticsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  6. Planning with Adaptive World Models for Autonomous DrivingWorld models → World models for autonomous driving +1
  7. SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher TaskSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  8. MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  9. Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  10. UniZero: Generalized and Efficient Planning with Scalable Latent World ModelsWorld models → Latent predictive world models +1
  11. Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering IncorrectlyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  13. On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  14. StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich TextLLM reasoning → Reasoning benchmarks and evaluation
  15. LLM-Mediated Domain-Specific Voice Agents: The Case of TextileBotLLM agents and tool use → General LLM agent frameworks and benchmarks
  16. Generating and Evolving Reward Functions for Highway Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
  17. Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-OnDiffusion models → 3D, point cloud and scene generation
  18. Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon CaptioningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  19. MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular DataLLM agents and tool use → Web, search, and research agents
  20. Lift Your Molecules: Molecular Graph Generation in Latent Euclidean SpaceDiffusion models → Flow matching, time series and science
  21. Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled DataMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  22. Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelMultimodal LLMs / vision-language models → Video understanding with MLLMs
  23. Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuningLLM reasoning → Reasoning for agents, planning and code
  24. Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
  25. Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
  26. VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It
  27. An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
  28. A Multimodal Transformer for Live Streaming Highlight Prediction
  29. Focused State Recognition Using EEG with Eye Movement-Assisted Annotation
  30. Poetry2Image: An Iterative Correction Framework for Images Generated from Chinese Classical Poetry
  31. Implicit Neural Representation for Videos Based on Residual Connection
  32. Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
  33. MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion
  34. SGSM: A Foundation-model-like Semi-generalist Sensing Model
  35. Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences
  36. Hyperbolic sentence representations for solving Textual Entailment
  37. Improving Large Models with Small models: Lower Costs and Better Performance
  38. Mental Disorder Classification via Temporal Representation of Text
  39. RMF: A Risk Measurement Framework for Machine Learning Models
  40. Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox
  41. A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
  42. A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection
  43. Horizon-wise Learning Paradigm Promotes Gene Splicing Identification
  44. SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
  45. Technique Report of CVPR 2024 PBDL Challenges
  46. Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
  47. Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
  48. Speech Emotion Recognition Using CNN and Its Use Case in Digital Healthcare
  49. Adaptive Experimentation When You Can't Experiment
  50. DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
  51. How Should We Extract Discrete Audio Tokens from Self-Supervised Models?
  52. Order-theoretic models for decision-making: Learning, optimization, complexity and computation
  53. A Comprehensive Survey of Foundation Models in Medicine
  54. Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  55. Eye in the Sky: Detection and Compliance Monitoring of Brick Kilns using Satellite Imagery
  56. GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR
  57. Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
  58. Stacking for Probabilistic Short-term Load Forecasting
  59. Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition
  60. Symmetry-driven embedding of networks in hyperbolic space
  61. MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception
  62. DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models
  63. Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem
  64. Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market
  65. Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL
  66. Integration of Programmable Diffraction with Digital Neural Networks
  67. Graph Neural Thompson Sampling
  68. Scale Equivariant Graph Metanetworks
  69. Fast Unsupervised Tensor Restoration via Low-rank Deconvolution
  70. A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection
  71. SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
  72. Augmenting Biomedical Named Entity Recognition with General-domain Resources
  73. CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
  74. A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
  75. DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models
  76. Justice in Healthcare Artificial Intelligence in Africa
  77. MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
  78. The Implicit Bias of Adam on Separable Data
  79. fNeRF: High Quality Radiance Fields from Practical Cameras
  80. Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations
  81. Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
  82. Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Survey
  83. Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
  84. HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
  85. Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation
  86. Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
  87. Multilingual Large Language Models and Curse of Multilinguality
  88. The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
  89. SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
  90. BlockPruner: Fine-grained Pruning for Large Language Models
  91. QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL
  92. MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and Generation
  93. Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
  94. CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach
  95. IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
  96. Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks
  97. Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
  98. Large Language Models Playing Mixed Strategy Nash Equilibrium Games
  99. Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
  100. MDA: An Interpretable and Scalable Multi-Modal Fusion under Missing Modalities and Intrinsic Noise Conditions
All 145
  1. Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
  2. We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation
  3. Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation
  4. Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoML
  5. Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence
  6. Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels
  7. A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editing
  8. Large Language Model Enhanced Clustering for News Event Detection
  9. Lightweight Audio Segmentation for Long-form Speech Translation
  10. NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
  11. Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
  12. Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
  13. Finite-difference-informed graph network for solving steady-state incompressible flows on block-structured grids
  14. PIG: Prompt Images Guidance for Night-Time Scene Parsing
  15. A Theory of Interpretable Approximations
  16. Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training
  17. Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center
  18. Full reference point cloud quality assessment using support vector regression
  19. Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation
  20. ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
  21. Reactor Mk.1 performances: MMLU, HumanEval and BBH test results
  22. GTR-Voice: Articulatory Phonetics Informed Controllable Expressive Speech Synthesis
  23. Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
  24. Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models
  25. CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
  26. Task Facet Learning: A Structured Approach to Prompt Optimization
  27. Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language Recognition
  28. A Spectral Framework for Evaluating Geodesic Distances Between Graphs
  29. A Unified Graph Selective Prompt Learning for Graph Neural Networks
  30. Large Language Models as Interpolated and Extrapolated Event Predictors
  31. Active, anytime-valid risk controlling prediction sets
  32. Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
  33. A Label is Worth a Thousand Images in Dataset Distillation
  34. DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
  35. From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent
  36. Discrete Latent Perspective Learning for Segmentation and Detection
  37. Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
  38. Object-Attribute-Relation Representation Based Video Semantic Communication
  39. The data augmentation algorithm
  40. CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation
  41. CancerLLM: A Large Language Model in Cancer Domain
  42. CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
  43. HumanPlus: Humanoid Shadowing and Imitation from Humans
  44. TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
  45. Learning Temporal Logic Predicates from Data with Statistical Guarantees