All papers — page 13

• Relating transformers to models and neural representations of the hippocampal formation
  arxiv:2112.04035 · 2021-12-07 · text available
• Reliable Chain-of-Thought via Prefix Consistency
  arxiv:2605.07654 · 2026-05-08 · text available
• Representation-Based Exploration for Language Models: From Test-Time to Post-Training
  arxiv:2510.11686 · 2025-10-13 · text available
• Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
  arxiv:2604.13016 · 2026-04-14 · text available
• Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
  arxiv:2605.06241 · 2026-05-07 · text available
• Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
  arxiv:2603.25562 · 2026-03-26 · text available
• Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
  arxiv:2011.14826 · 2020-11-20 · text available
• Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
  arxiv:2605.12969 · 2026-05-13 · text available
• Revisiting the Platonic Representation Hypothesis: An Aristotelian View
  arxiv:2602.14486 · 2026-02-16 · text available
• RIFT: A RubrIc Failure Mode Taxonomy and Automated Diagnostics
  arxiv:2604.01375 · 2026-04-01 · text available
• RLTL;DR: Self-improvement by Internalizing Self-generated Feedback
  arxiv:2609.37633 · 2026-09-29 · text available
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
  arxiv:2511.07317 · 2025-11-10 · text available
• Robust agents learn causal world models
  openreview:pOoKI3ouv1 · 2024-02-16 · text available
• rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  arxiv:2501.04519 · 2025-01-08 · text available
• s1: Simple test-time scaling
  arxiv:2501.19393 · 2025-01-31 · text available
• Sample-Efficient RL by Breaking the Replay Ratio Barrier (ICLR 2023, precursor of BBF)
  openreview:OpC-9aBBVJe · 2022-09-28 · text available
• Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
  arxiv:2405.18392 · 2024-05-28 · text available
• Scaling Laws for Neural Language Models
  arxiv:2001.08361 · 2020-01-23 · text available
• Scaling Laws for Reward Model Overoptimization
  arxiv:2210.10760 · 2022-10-19 · text available
• Scaling MLPs: A Tale of Inductive Bias
  arxiv:2306.13575 · 2023-06-23 · text available
• Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
  arxiv:2412.14135 · 2024-12-18 · text available
• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
  arxiv:2502.05171 · 2025-02-07 · text available
• Schema: a symbolic world model for ARC-AGI-3
  url:schema-harness.github.io · 2026-07-17 · metadata only
• Searching for Activation Functions
  arxiv:1710.05941 · 2017-10-16 · text available