mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 20 Jan 2024

95 papers

  1. Large-scale Reinforcement Learning for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  2. BadChain: Backdoor Chain-of-Thought Prompting for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  3. Prompting Large Vision-Language Models for Compositional ReasoningLLM reasoning → Multimodal reasoning +1
  4. Deception and Manipulation in Generative AILLM agents and tool use → Social simulation and multi-agent debate
  5. Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to MarkovDeep reinforcement learning methods → Interpretable and logic-guided RL
  6. Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture GradientDiffusion models → Diffusion foundations and sampling
  7. Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean MedicineRetrieval-augmented generation → Medical and biomedical RAG
  8. Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and WrinklesDiffusion models → 3D, point cloud and scene generation
  9. Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of ViewDeep reinforcement learning methods → Deep RL algorithms and representations
  10. InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model GuidanceLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  11. Obstacle-Aware Navigation of Soft Growing Robots via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  12. Inducing High Energy-Latency of Large Vision-Language Models with Verbose ImagesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  13. Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
  14. Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV SwarmsDeep reinforcement learning methods → RL for robot navigation and UAV control
  15. MotionMix: Weakly-Supervised Diffusion for Controllable Motion GenerationDiffusion models → Video generation
  16. UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided TexturesDiffusion models → 3D, point cloud and scene generation
  17. Large and Deep Factor Models
  18. LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
  19. Combining Cloud and Mobile Computing for Machine Learning
  20. STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
  21. Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
  22. On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
  23. Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
  24. Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process
  25. Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windows
  26. An Information Retrieval and Extraction Tool for Covid-19 Related Papers
  27. Aprendizado de m'aquina aplicado na eletroqu'imica
  28. Toward Robust Multimodal Learning using Multimodal Foundational Models
  29. Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA
  30. Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
  31. Diffusion Representation for Asymmetric Kernels
  32. Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
  33. Orion-14B: Open-source Multilingual Large Language Models
  34. Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
  35. Identifying and Analyzing Performance-Critical Tokens in Large Language Models
  36. PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
  37. CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs
  38. Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery
  39. A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
  40. A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
  41. Long-Term Fair Decision Making through Deep Generative Models
  42. Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose
  43. DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
  44. Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric
  45. Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
  46. Measuring Policy Distance for Multi-Agent Reinforcement Learning
  47. Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
  48. Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
  49. AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
  50. Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI
  51. Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
  52. LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation
  53. TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision
  54. Unifying Visual and Vision-Language Tracking via Contrastive Learning
  55. Susceptibility of Adversarial Attack on Medical Image Segmentation Models
  56. End-to-End Argument Mining over Varying Rhetorical Structures
  57. A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant
  58. Selecting Walk Schemes for Database Embedding
  59. Programming Distributed Collective Processes in the eXchange Calculus
  60. Unfair TOS: An Automated Approach using Customized BERT
  61. Towards Category Unification of 3D Single Object Tracking on Point Clouds
  62. PartIR: Composing SPMD Partitioning Strategies for Machine Learning
  63. Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects
  64. Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs
  65. Machine learning based state observer for discrete time systems evolving on Lie groups
  66. Fast and Exact Enumeration of Deep Networks Partitions Regions
  67. How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
  68. Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramer-Rao Bound
  69. Pixel-Wise Recognition for Holistic Surgical Scene Understanding
  70. Generalizing Speaker Verification for Spoof Awareness in the Embedding Space
  71. Boosting Gesture Recognition with an Automatic Gesture Annotation Framework
  72. Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
  73. Towards Open-World Gesture Recognition
  74. Density Adaptive Attention is All You Need: Robust Parameter-Efficient Fine-Tuning Across Multiple Modalities
  75. Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection
  76. Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
  77. CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
  78. Cross-Task Affinity Learning for Multitask Dense Scene Predictions
  79. Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition
  80. Spatial Structure Constraints for Weakly Supervised Semantic Segmentation
  81. Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
  82. DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries
  83. SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
  84. VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
  85. Exploiting Duality in Open Information Extraction with Predicate Prompt
  86. Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
  87. Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
  88. Neural auto-designer for enhanced quantum kernels
  89. TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation
  90. FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
  91. Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
  92. Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
  93. On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
  94. Make-A-Shape: a Ten-Million-scale 3D Shape Model
  95. HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations