mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 24 Dec 2023

60 papers

  1. LARP: Language-Agent Role Play for Open-World GamesLLM agents and tool use → Social simulation and multi-agent debate
  2. Hyper-VolTran: Fast and Generalizable One-Shot Image to 3D Object Structure via HyperNetworksDiffusion models → 3D, point cloud and scene generation
  3. ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
  4. A-SDM: Accelerating Stable Diffusion through Redundancy Removal and Performance OptimizationDiffusion models → Diffusion foundations and sampling
  5. Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion ModelsDiffusion models → Diffusion recommenders
  6. Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLMLLM agents and tool use → Web, search, and research agents
  7. Nowcasting Madagascar's real GDP using machine learning algorithms
  8. Deep Pulse-Coupled Neural Networks
  9. Multimodal Gen-AI for Fundamental Investment Research
  10. Multimodal Classification of Teaching Activities from University Lecture Recordings
  11. Deformable Audio Transformer for Audio Event Detection
  12. Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning
  13. Enhancing Profitability and Investor Confidence through Interpretable AI Models for Investment Decisions
  14. Segment Any Events via Weighted Adaptation of Pivotal Tokens
  15. STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation
  16. GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions
  17. SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition
  18. Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
  19. README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
  20. On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
  21. Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling
  22. Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
  23. YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction
  24. Amodal Completion via Progressive Mixed Context Diffusion
  25. The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
  26. The Persuasive Power of Large Language Models
  27. Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training
  28. Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
  29. Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
  30. Agent based modelling for continuously varying supply chains
  31. Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
  32. BSRAW: Improving Blind RAW Image Super-Resolution
  33. A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance
  34. A Group Fairness Lens for Large Language Models
  35. A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
  36. Towards Consistent Language Models Using Declarative Constraints
  37. Residual Learning for Image Point Descriptors
  38. Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products
  39. Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
  40. iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
  41. Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
  42. Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
  43. Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
  44. Semi-Bandit Learning for Monotone Stochastic Optimization
  45. Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos
  46. FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization
  47. CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem
  48. Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective
  49. A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
  50. Objects as volumes: A stochastic geometry view of opaque solids
  51. Combinatorial music generation model with song structure graph analysis
  52. Fairness-Aware Structured Pruning in Transformers
  53. Prompt Valuation Based on Shapley Values
  54. Debiased Learning for Remote Sensing Data
  55. TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation Dataset
  56. DEAP: Design Space Exploration for DNN Accelerator Parallelism
  57. MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning
  58. Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning
  59. End-to-End 3D Object Detection using LiDAR Point Cloud
  60. An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms