pith:UKSLWPQT
Recursively Summarizing Books with Human Feedback
Recursive decomposition lets models summarize entire books after humans give feedback only on short sections.
arxiv:2109.10862 v2 · 2021-09-22 · cs.CL · cs.AI · cs.LG
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Our resulting model generates sensible summaries of entire books, even matching the quality of human-written summaries in a few cases (~5% of books). We achieve state-of-the-art results on the recent BookSum dataset for book-length summarization.
That summaries of summaries retain enough information and fidelity for the final output to remain faithful to the original book when humans never see the full text.
Recursive decomposition plus human feedback lets GPT-3 produce book-length summaries that reach human quality on a few cases and set new records on BookSum and NarrativeQA.
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| First computed | 2026-05-17T23:38:13.696569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
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| Schema | pith-number/v1.0 |
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