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pith:2021:UKSLWPQT2Z3UNZ3JUCL37JYPQF
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Recursively Summarizing Books with Human Feedback

Daniel M. Ziegler, Jan Leike, Jeff Wu, Long Ouyang, Nisan Stiennon, Paul Christiano, Ryan Lowe

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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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

References

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[1] This subtask can be decomposed even further if necessary
[2] answer_directly, which returns an actual answer to the task, synthesizing the answers to subtasks In general, both decompose_if_needed and answer_directly could be learned and implemented by an ML mod 2020
[3] So gratuitously including small details is generally penalized, and omitting important details is also penalized
[4] Accuracy: All information in the summary should faithfully reflect the original passage
[5] We also have a fourth criteria which is primarily applicable at higher height

Formal links

3 machine-checked theorem links

Cited by

22 papers in Pith

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First computed 2026-05-17T23:38:13.696569Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

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a2a4bb3e13d67746e769a097bfa70f8148c475fb3b8ffa86c331751c38e0255a

Aliases

arxiv: 2109.10862 · arxiv_version: 2109.10862v2 · doi: 10.48550/arxiv.2109.10862 · pith_short_12: UKSLWPQT2Z3U · pith_short_16: UKSLWPQT2Z3UNZ3J · pith_short_8: UKSLWPQT
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/UKSLWPQT2Z3UNZ3JUCL37JYPQF \
  | jq -c '.canonical_record' \
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Canonical record JSON
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