[D] ICML reviewer making up false claim in acknowledgement, what to do?

Reddit r/MachineLearning / 4/4/2026

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Key Points

A researcher reports that an ICML reviewer added an unsupported, made-up claim in a rebuttal acknowledgement about the method performing worse than baselines under certain hyperparameter settings.
The authors state they conducted comprehensive hyperparameter comparisons and that the reviewer’s assertion does not match what is presented in the paper.
The post asks what actions are appropriate in this situation, implying the need to address reviewer inaccuracies during the rebuttal/review process.
The scenario highlights process and documentation challenges in ML peer review, especially around experimental evidence and how claims are substantiated.

In a rebuttal acknowledgement we received, the reviewer made up a claim that our method performs worse than baselines with some hyperparameter settings. We did do a comprehensive list of hyperparameter comparisons and the reviewer's claim is not supported by what's presented in the paper.

In this case what can we do?

submitted by /u/dontknowwhattoplay
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