Where RL Will Take Search
Official Schedule Context
- Date/time: 2026-06-29 · 2:50pm-3:10pm
- Track/room: Search & Retrieval · Track 3
- Speaker(s): Maximilian-David Rumpf, Lotte Seifert
- Session type/status: session · confirmed
Official Description
Search is having its Bitter Lesson moment. By turning search into an RL problem, we can finally
scale search quality with compute! RL is extremely sample efficient when compared to classical
search training objectives and we see no ceiling to how far we can scale this new paradigm. We cover
the training of SID-1, the first RL-trained search model, and how search will look like post-RL.
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Notes
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