All papers — page 10

• Meta Context Engineering via Agentic Skill Evolution
  arxiv:2601.21557 · 2026-01-29 · text available
• Meta-Harness: End-to-End Optimization of Model Harnesses
  arxiv:2603.28052 · 2026-03-30 · text available
• Metalearning Continual Learning Algorithms
  arxiv:2312.00276 · 2023-12-01 · text available
• MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
  arxiv:2402.02342 · 2024-02-04 · text available
• MetaWorm: An Integrative Data-Driven Model Simulating <i>C. elegans</i> Brain, Body and Environment Interactions
  doi:10.1101/2024.02.22.581686 · 2024-02-26 · text available
• MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
  url:minedojo.org · 2022-06-17 · metadata only
• MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
  arxiv:2506.13585 · 2025-06-16 · text available
• Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  arxiv:2507.10524 · 2025-07-14 · text available
• MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
  arxiv:2410.07095 · 2024-10-09 · text available
• Modular Arithmetic: Language Models Solve Math Digit by Digit
  arxiv:2508.02513 · 2025-08-04 · text available
• Multimodal Chain-of-Thought Reasoning in Language Models
  arxiv:2302.00923 · 2023-02-02 · text available
• Nested Learning: The Illusion of Deep Learning Architectures
  arxiv:2512.24695 · 2025-12-31 · text available
• Neural Networks and the Chomsky Hierarchy
  arxiv:2207.02098 · 2022-07-05 · text available
• Neural spiking for causal inference and learning
  doi:10.1371/journal.pcbi.1011005 · 2023-01-01 · text available
• Neuroevolution book
  url:neuroevolutionbook.com · 2025-09-07 · metadata only
• No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
  arxiv:2307.06440 · 2023-07-12 · text available
• NorMuon: Making Muon more efficient and scalable
  arxiv:2510.05491 · 2025-10-07 · text available
• Oat-Zero: reproducing R1-Zero and analyzing self-reflection
  url:oatllm.notion.site/oat-zero · 2025-03-21 · metadata only
• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
  arxiv:2005.01643 · 2020-05-04 · text available
• Olmo 3
  arxiv:2512.13961 · 2025-12-15 · text available
• On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
  arxiv:2508.05629 · 2025-08-07 · text available
• On the Information Bottleneck Theory of Deep Learning (Saxe et al.)
  openreview:ry_WPG-A- · 2017-10-27 · text available
• On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
  arxiv:2508.11408 · 2025-08-15 · text available
• One Embedder, Any Task: Instruction-Finetuned Text Embeddings
  arxiv:2212.09741 · 2022-12-19 · text available