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arXiv 2610.23344 · cs.CL · 2026-10-16

Language Models Learn to Improve Language Models

Minhua Lin, Zijun Wang, Zewen Liu, Zhaotian Weng, Bing He, Zhan Shi, Benoit Dumoulin, Xiang Zhang and 2 more

Affiliation unverified

In latest · #377 Added on 2026-10-26

One-line takeaway

LM2LM trains LLMs with RL to propose effective language-model improvements, using cheaper surrogate feedback instead of full training runs and addressing the unreliability that arises when policy optimization favors overestimated proposals.

LM2LM 用强化学习训练大模型提出改进语言模型的方案;为避免每个提案都跑完整训练的高昂成本,改用更便宜的替代反馈,并处理策略偏向被高估提案导致替代反馈失真的问题。

23HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
34.2Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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