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arXiv:2403.04121cs.AI

Can Large Language Models Reason and Plan?

Subbarao Kambhampati

Abstract

While humans sometimes do show the capability of correcting their own erroneous guesses with self-critiquing, there seems to be no basis for that assumption in the case of LLMs.

arXiv comments
arXiv admin note: text overlap with arXiv:2402.01817 (v2 add creative commons attribution to Figure 2 graphic)
Journal reference
Annals of The New York Academy of Sciences; March 2024
DOI
doi:10.1111/nyas.15125
Subjects
cs.AIArtificial Intelligence cs.CLComputation and Language cs.LGMachine Learning

On Hacker News

Linked by 2 identifiable commenters in 2 comments across 2 threads, from Mar 2024 to Jan 2025. Found in 5 HN submissions from Mar 2024 to Apr 2024. Open submission discussions.

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Discussed in comments2 threads

  1. Aaron Swartz and Sam Altman 1 comment
    • Proof? :) where has proof ever been found in truth? It's not proof, but there is some good evidence out there. Here are two interesting papers I found informative. https://arxiv.org/html/2403.04121v2 https://arxiv.org/html/2411.12580v1

      sgt101View on HNParent context

  2. Devin: AI Software Engineer 1 comment
    • >> With our advances in long-term reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. They'd better have really advanced reasoning and planning capabilities way beyond everything that anyone else knows how to do with…

      YeGoblynQueenneView on HNParent context

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