ICLR lets researchers use LLMs to analyse results but makes the authors responsible for verifying them, and requires a human author even for research an LLM produced

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One of the main machine-learning conferences, binding on its 2026 authors. The program chairs say LLMs can help with research ideas, experiment code and analysing results; that it is the author's responsibility to verify and validate any research contributions made by an LLM; that even where an LLM might produce an entire piece of research a human author is still required for accountability; and that researchers must not misrepresent results. Violations can lead to desk rejection. It allows machine analysis; it keeps answering for what the result means with a person.

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One conference's rules for its authors; they do not measure how much analysis researchers now hand to models, or how well authors check it.

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