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arXiv AI By Jens Tuyls, Dylan J. Foster, Akshay Krishnamurthy, Jordan T. Ash

Representation-Based Exploration for Language Models: From Test-Time to Post-Training

Read the original on arXiv AI →

arXiv:2510. 11686v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) promises to expand the capabilities of language models, but it is unclear if current RL techniques promote the discovery of novel behaviors, or simply sharpen those already present in the base model.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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