Efficiently Aligning Language Models with Online Natural Language Feedback 事件

Efficiently Aligning Language Models with Online Natural Language Feedback arXiv:2605.04356v2 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards has been used to elicit impressive performance from language models in many domains. But, broadly beneficial deployments of AI may require us to train models with strong capabilities in "fuzzy", hard-to-supervise domains. In this paper, we develop methods to align language models in fuzzy domains where human experts a