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Kambhampati and co-authors' position paper of February 2024 argues that auto-regressive LLMs cannot by themselves do planning or self-verification, describing them as approximate knowledge sources and as n-gram models on steroids trained on web-scale corpora. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2024-02-02 · publication Records dated 2024 → Role Context Register (kind of text) Nonfiction Missing element Argues that LLMs cannot plan or self-verify by themselves; does not state that they lack goals, agency or understanding. Scope and limits The paper argues that LLMs can help planning inside frameworks with external verifiers; its description of LLMs as n-gram models on steroids bears on the criterion's element of systems that model or reproduce text only.
The evidence 03 primary source Supports the claim
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks ↗ arXiv preprint 2402.01817 (position paper) · 2024-02-02
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Source excerpt “We argue that auto-regressive LLMs cannot, by themselves, do planning or self-verification” Location in source Abstract, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-31
Source details and check notes Authors Subbarao Kambhampati; Karthik Valmeekam; Lin Guan; Kaya Stechly; Mudit Verma; Siddhant Bhambri; Lucas Saldyt; Anil Murthy Version Retrieved for the candidate pack on 2026-10-29 (SHA-256 c7f74530b2e1f5410935b2f89fd078e1cb3561939fb670302ac015f0cfbf6dea). arXiv v1 of 2 February 2024. The cross-family check retrieved it again on 2026-10-31, with the same bytes. Canonical address Open the canonical source ↗ Accessed 2026-10-29 Language English (en) Attribution Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy, “LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks”, 2024-02-02. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (12 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review. primary source Supports the claim
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks ↗ arXiv preprint 2402.01817 (position paper) · 2024-02-02
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Source excerpt “essentially n-gram models on steroids which have been trained on web-scale language corpora” Location in source Section 1, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-31
Source details and check notes Authors Subbarao Kambhampati; Karthik Valmeekam; Lin Guan; Kaya Stechly; Mudit Verma; Siddhant Bhambri; Lucas Saldyt; Anil Murthy Version Retrieved for the candidate pack on 2026-10-29 (SHA-256 c7f74530b2e1f5410935b2f89fd078e1cb3561939fb670302ac015f0cfbf6dea). arXiv v1 of 2 February 2024. The cross-family check retrieved it again on 2026-10-31, with the same bytes. Canonical address Open the canonical source ↗ Accessed 2026-10-29 Language English (en) Attribution Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy, “LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks”, 2024-02-02. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (13 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review. primary source Context only
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks ↗ arXiv preprint 2402.01817 (position paper) · 2024-02-02
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “LLMs should be viewed as universal approximate knowledge sources” Location in source Abstract, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-31
Source details and check notes Authors Subbarao Kambhampati; Karthik Valmeekam; Lin Guan; Kaya Stechly; Mudit Verma; Siddhant Bhambri; Lucas Saldyt; Anil Murthy Version Retrieved for the candidate pack on 2026-10-29 (SHA-256 c7f74530b2e1f5410935b2f89fd078e1cb3561939fb670302ac015f0cfbf6dea). arXiv v1 of 2 February 2024. The cross-family check retrieved it again on 2026-10-31, with the same bytes. Canonical address Open the canonical source ↗ Accessed 2026-10-29 Language English (en) Attribution Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy, “LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks”, 2024-02-02. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (9 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. A passage of the document bears on the proposition without meeting its criterion; the record names the missing element. It is not an articulation and implies no influence.
Date. Date of the arXiv v1 submission.
Record ID rd-r14-kambhampati-2024-llms-cant-plan