Firehose

Filtered to Papers, tagged “feedback models” · clear filters

All PeopleCompaniesPapersPodcastsHacker News

Browse by tag

20 JUL 2026 · Paper

This paper proposes a new way for large language models to learn from feedback, allowing them to retain more detailed information about the quality of their responses and learn from it in a more nuanced way. Practitioners might care because this approach could lead to better performance on tasks where the model doesn't have a clear way to evaluate its own output.