mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 30 Nov 2024

137 papers

  1. Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query PerspectiveLLM reasoning → Knowledge- and tool-augmented reasoning
  2. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video GenerationDiffusion models → Video generation
  3. LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World ScenesWorld models → World modeling from LiDAR generation
  4. Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road DrivingEnd-to-end autonomous driving → End-to-end system architecture
  5. Continuous Concepts Removal in Text-to-image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  6. Blind Inverse Problem Solving Made Easy by Text-to-Image Latent DiffusionDiffusion models → Inverse problems and image restoration
  7. Accelerating Multimodal Large Language Models by Searching Optimal Vision Token ReductionMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  8. Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared ControlOffline RL and imitation learning from data → Robot learning from demonstration
  9. Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRIDiffusion models → Medical imaging and segmentation
  10. Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication SystemsLLM reasoning → Reasoning for agents, planning and code
  11. Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  12. Jailbreak Large Vision-Language Models Through Multi-Modal LinkageLLM safety and security → Vision-language and text-to-image safety
  13. AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Agricultural vision-language models
  14. ATP-LLaVA: Adaptive Token Pruning for Large Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  15. Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-trainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  16. Towards Real-time Adaptation of Embodied Agent in Human-Robot CollaborationLLM agents and tool use → Multimodal and embodied agents
  17. FreeCond: Free Lunch in the Input Conditions of Text-Guided InpaintingDiffusion models → 3D, point cloud and scene generation
  18. Mixture of Experts for Node ClassificationMixture-of-experts → MoE for time series and graphs
  19. Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge IntelligenceKnowledge distillation → Federated, robust and private distillation
  20. DroidCall: A Dataset for LLM-powered Android Intent InvocationLLM agents and tool use → GUI and mobile agents
  21. DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D PosesDiffusion models → Video generation
  22. On Foundation Models for Dynamical Systems from Purely Synthetic DataSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  23. Unified Parameter-Efficient Unlearning for LLMsLLM reasoning → Reasoning for agents, planning and code +1
  24. Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge DistillationKnowledge distillation → Graph neural network distillation
  25. DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout GenerationDiffusion models → Image generation, text-to-image and editing
  26. Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +2
  27. Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy SelectionLLM reasoning → Prompting and chain-of-thought reasoning
  28. HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal ForecastingMixture-of-experts → MoE for time series and graphs
  29. BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL SettingsDeep reinforcement learning methods → RL theory and sample complexity
  30. Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
  31. Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
  32. MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
  33. Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation
  34. A Unified Data Representation Learning for Non-parametric Two-sample Testing
  35. Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning
  36. Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation
  37. Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions
  38. DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
  39. Audio Atlas: Visualizing and Exploring Audio Datasets
  40. Invariant Measures in Time-Delay Coordinates for Unique Dynamical System Identification
  41. Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
  42. Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives
  43. A Flexible Method for Behaviorally Measuring Alignment Between Human and Artificial Intelligence Using Representational Similarity Analysis
  44. Multi-resolution Guided 3D GANs for Medical Image Translation
  45. Opus: A Large Work Model for Complex Workflow Generation
  46. Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning
  47. The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
  48. Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
  49. Polish-English medical knowledge transfer: A new benchmark and results
  50. Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective
  51. A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals
  52. SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
  53. Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation
  54. Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks
  55. Optimal Particle-based Approximation of Discrete Distributions (OPAD)
  56. RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification
  57. Evaluating the Consistency of LLM Evaluators
  58. Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
  59. TextClass Benchmark: A Continuous Elo Rating of LLMs in Social Sciences
  60. Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities
  61. Exact Certification of (Graph) Neural Networks Against Label Poisoning
  62. FullStack Bench: Evaluating LLMs as Full Stack Coders
  63. Towards Fault Tolerance in Multi-Agent Reinforcement Learning
  64. ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain
  65. Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters
  66. Human Action CLIPs: Detecting AI-generated Human Motion
  67. GloCOM: A Short Text Neural Topic Model via Global Clustering Context
  68. A Self-Explainable Heterogeneous GNN for Relational Deep Learning
  69. Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects
  70. LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
  71. Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
  72. Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
  73. Homeostasis and Sparsity in Transformer
  74. Distributed Differentially Private Data Analytics via Secure Sketching
  75. Density-aware global-local attention network for point cloud segmentation
  76. Improved Cleanup and Decoding of Fractional Power Encodings
  77. Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows
  78. Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
  79. LineGS : 3D Line Segment Representation on 3D Gaussian Splatting
  80. Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizers
  81. A Probably Approximately Correct Analysis of Group Testing Algorithms
  82. On the Conditions for Domain Stability for Machine Learning: a Mathematical Approach
  83. BGM: Background Mixup for X-ray Prohibited Items Detection
  84. Non-native speakers of English or ChatGPT: Who thinks better?
  85. Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
  86. A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge
  87. Hybrid Local-Global Context Learning for Neural Video Compression
  88. Two Models for Surface Segmentation using the Total Variation of the Normal Vector
  89. DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
  90. Dynamic Token Selection for Aerial-Ground Person Re-Identification
  91. Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy
  92. Learner Attentiveness and Engagement Analysis in Online Education Using Computer Vision
  93. Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection
  94. Was that Sarcasm?: A Literature Survey on Sarcasm Detection
  95. On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching
  96. TAROT: Targeted Data Selection via Optimal Transport
  97. AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
  98. QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
  99. Hard-Label Black-Box Attacks on 3D Point Clouds
  100. Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
All 137
  1. PAL -- Parallel active learning for machine-learned potentials
  2. ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning
  3. GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision
  4. Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach
  5. Bi-Band ECoGNet for ECoG Decoding on Classification Task
  6. Implementation of neural network operators with applications to remote sensing data
  7. LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image
  8. Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment
  9. 2-Factor Retrieval for Improved Human-AI Decision Making in Radiology
  10. Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
  11. LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation
  12. Does Self-Attention Need Separate Weights in Transformers?
  13. On the Role of Noise in Factorizers for Disentangling Distributed Representations
  14. Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
  15. Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey
  16. CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
  17. Achieving PAC Guarantees in Mechanism Design through Multi-Armed Bandits
  18. Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting
  19. Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models
  20. Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications
  21. EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients
  22. Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling
  23. Differentiable High-Order Markov Models for Spectrum Prediction
  24. MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI
  25. Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution
  26. Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
  27. Improving speaker verification robustness with synthetic emotional utterances
  28. One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
  29. Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)
  30. Towards Pixel-Level Prediction for Gaze Following: Benchmark and Approach
  31. Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
  32. HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks
  33. Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives
  34. Aligning LLM+PDDL Symbolic Plans with Human Objective Specifications through Evolutionary Algorithm Guidance
  35. Adaptformer: Sequence models as adaptive iterative planners
  36. Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
  37. Adapting the re-ID challenge for static sensors