2026-10-11 17:10 UTC

llm-reasoning

band: coolmomentum: stable score: 0.007
temperature history

Episodes (2)

The paper’s authors claim LLMs can design near-optimal operations-research algorithms that match or outperform established human-designed methods, potentially automating parts of algorithm development.
expiredknownscott: low
Michael Noukhovitch claims Never Give Up's adaptive asynchronous sampling improves hard-problem math accuracy over fixed-sampling GRPO at comparable compute without materially degrading easy-problem performance, making RL training more efficient at expanding initial model competence.
seednovelscott: low