mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 10 Feb 2024

94 papers

  1. On the Convergence Rate of MCTS for the Optimal Value Estimation in Markov Decision ProcessesLLM reasoning → Reinforcement learning for reasoning
  2. Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm SurveillanceKnowledge distillation → Detection and dense prediction distillation
  3. A Tale of Tails: Model Collapse as a Change of Scaling LawsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  4. Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts ModelsMixture-of-experts → Efficient MoE training and inference systems
  5. Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & HallucinationsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  6. Informativeness of Reward Functions in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  7. Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion ModelsDiffusion models → Medical imaging and segmentation
  8. Whispers in the Machine: Confidentiality in Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
  9. Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  10. Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy NetworksDeep reinforcement learning methods → RL for games and combinatorial optimization
  11. Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  12. Discriminative Adversarial UnlearningLLM safety and security → Machine unlearning
  13. UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph ConstructionLLM agents and tool use → Web, search, and research agents
  14. SportsNGEN: Sustained Generation of Realistic Multi-player Sports Gameplay
  15. Federated Deep Q-Learning and 5G load balancing
  16. Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
  17. Modeling and predicting students' engagement behaviors using mixture Markov models
  18. Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
  19. Understanding the Progression of Educational Topics via Semantic Matching
  20. Optimizing Uterine Synchronization Analysis in Pregnancy and Labor through Window Selection and Node Optimization
  21. DAEDRA: A language model for predicting outcomes in passive pharmacovigilance reporting
  22. Simple, unified analysis of Johnson-Lindenstrauss with applications
  23. Educational data mining and learning analytics: An updated survey
  24. ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
  25. Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper
  26. Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management
  27. Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
  28. Differentially Private Range Queries with Correlated Input Perturbation
  29. Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise
  30. Understanding the Training Speedup from Sampling with Approximate Losses
  31. L^*LM: Learning Automata from Examples using Natural Language Oracles
  32. A Factor Graph Model of Trust for a Collaborative Multi-Agent System
  33. Logistic-beta processes for dependent random probabilities with beta marginals
  34. Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities
  35. Distilling Symbolic Priors for Concept Learning into Neural Networks
  36. Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration
  37. Semi-Supervised Learning for Bilingual Lexicon Induction
  38. Quantum Speedup for Spectral Approximation of Kronecker Products
  39. Generalization Error of Graph Neural Networks in the Mean-field Regime
  40. REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models
  41. FedImpro: Measuring and Improving Client Update in Federated Learning
  42. An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
  43. Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
  44. A Change Detection Reality Check
  45. A Rational Analysis of the Speech-to-Song Illusion
  46. Reciprocal Visibility
  47. Guided Sketch-Based Program Induction by Search Gradients
  48. OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
  49. Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI
  50. Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
  51. Hypernetwork-Driven Model Fusion for Federated Domain Generalization
  52. Event-Keyed Summarization
  53. In-Context Data Distillation with TabPFN
  54. Contextual Stochastic Vehicle Routing with Time Windows
  55. Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
  56. DeepCover: Advancing RNN Test Coverage and Online Error Prediction using State Machine Extraction
  57. NLP for Knowledge Discovery and Information Extraction from Energetics Corpora
  58. Tree Ensembles for Contextual Bandits
  59. SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
  60. Architectural Neural Backdoors from First Principles
  61. Feature Mapping in Physics-Informed Neural Networks (PINNs)
  62. OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
  63. Estimating the Effect of Crosstalk Error on Circuit Fidelity Using Noisy Intermediate-Scale Quantum Devices
  64. Semantic Object-level Modeling for Robust Visual Camera Relocalization
  65. Should I try multiple optimizers when fine-tuning pre-trained Transformers for NLP tasks? Should I tune their hyperparameters?
  66. Evaluation Metrics for Automated Typographic Poster Generation
  67. Efficient Incremental Belief Updates Using Weighted Virtual Observations
  68. Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities
  69. Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
  70. Latent Enhancing AutoEncoder for Occluded Image Classification
  71. Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute
  72. ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G
  73. LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes
  74. Making a prototype of Seoul historical sites chatbot using Langchain
  75. A Thorough Examination of Decoding Methods in the Era of LLMs
  76. CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion Recognition
  77. Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
  78. TREET: TRansfer Entropy Estimation via Transformers
  79. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
  80. Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions
  81. Investigating Consistency in Query-Based Meeting Summarization: A Comparative Study of Different Embedding Methods
  82. Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
  83. GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
  84. Understanding Test-Time Augmentation
  85. DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
  86. Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
  87. Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework
  88. Non-autoregressive Generative Models for Reranking Recommendation
  89. LiRank: Industrial Large Scale Ranking Models at LinkedIn
  90. For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
  91. Gyroscope-Assisted Motion Deblurring Network
  92. History, Development, and Principles of Large Language Models-An Introductory Survey
  93. ChemLLM: A Chemical Large Language Model
  94. Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA