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ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Binfeng Xu, Bowen Lei, Dongkuan Xu, Subhabrata Mukherjee, Yuchen Liu, Zhiyuan Peng

ReWOO generates a full reasoning plan without tool observations first, then executes it in one pass to cut token use and allow smaller models.

arxiv:2305.18323 v1 · 2023-05-23 · cs.CL · cs.AI

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Claims

C1strongest claim

ReWOO achieves 5x token efficiency and 4% accuracy improvement on HotpotQA, a multi-step reasoning benchmark, while demonstrating robustness under tool-failure scenarios and enabling offloading from 175B GPT-3.5 to 7B LLaMA.

C2weakest assumption

That a complete reasoning plan can be generated without any intermediate observations and that the subsequent single-pass execution of that plan will not lose critical information that interleaved observation would have supplied.

C3one line summary

ReWOO decouples reasoning from tool observations in augmented language models, delivering 5x token efficiency and 4% higher accuracy on multi-step reasoning benchmarks like HotpotQA.

References

42 extracted · 42 resolved · 22 Pith anchors

[1] Re- act: Synergizing reasoning and acting in language models 2023
[2] Augmented Language Models: a Survey 2023 · arXiv:2302.07842
[3] MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action 2023 · arXiv:2303.11381
[4] Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis.CoRR, abs/2303.16434, 2023 2023
[5] Tool Learning with Foundation Models 2023 · arXiv:2304.08354

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24 papers in Pith

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First computed 2026-05-17T23:38:50.613007Z
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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73a66f458b5ea2438181a2d5a6234b5c4bbef388b05e43be9fb234259ae18057

Aliases

arxiv: 2305.18323 · arxiv_version: 2305.18323v1 · doi: 10.48550/arxiv.2305.18323 · pith_short_12: OOTG6RMLL2RE · pith_short_16: OOTG6RMLL2REHAMB · pith_short_8: OOTG6RML
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/OOTG6RMLL2REHAMBULK2MI2LLR \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 73a66f458b5ea2438181a2d5a6234b5c4bbef388b05e43be9fb234259ae18057
Canonical record JSON
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