The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus Paper • 2603.20105 • Published 9 days ago • 32 • 6
The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus Paper • 2603.20105 • Published 9 days ago • 32 • 6
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Paper • 2601.21590 • Published Jan 29 • 14 • 13
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Paper • 2601.21590 • Published Jan 29 • 14
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Paper • 2601.21590 • Published Jan 29 • 14 • 13
State over Tokens: Characterizing the Role of Reasoning Tokens Paper • 2512.12777 • Published Dec 14, 2025 • 5 • 6
State over Tokens: Characterizing the Role of Reasoning Tokens Paper • 2512.12777 • Published Dec 14, 2025 • 5
State over Tokens: Characterizing the Role of Reasoning Tokens Paper • 2512.12777 • Published Dec 14, 2025 • 5 • 6
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing Paper • 2509.08721 • Published Sep 10, 2025 • 664 • 56
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing Paper • 2509.08721 • Published Sep 10, 2025 • 664
TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training Paper • 2508.17677 • Published Aug 25, 2025 • 14
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting Paper • 2508.11408 • Published Aug 15, 2025 • 8 • 6