NeurIPS 2026 Reviewer: AI-Generated Rebuttals (and Paper) [D]

Reddit r/MachineLearning News

Summary

A NeurIPS reviewer reports encountering a paper and rebuttals that appear entirely LLM-generated, expressing frustration and seeking advice on how to evaluate such submissions.

One of the papers I reviewed has what seems to be entirely LLM-generated rebuttals, and the original paper is also clearly LLM-generated, with Claude-speak everywhere. While the authors acknowledge LLM writing assistance in the checklist, it really annoys me personally - what is clearly Claude's writing style is very difficult to parse, and indicates a lack of effort to me. While I'm trying to remain objective and realize it's my role just to judge the actual content of the work, I don't feel incentivized to assign a lot of weight to an argument that is fully AI-generated and don't like the idea of engaging with slopped papers (and their "authors") at NeurIPS. This is a partially just a rant and partially asking for advice on how to proceed with my response to the rebuttals.
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@nini_incrypto_: The ultimate tool for academic debating with reviewers is here! If you're submitting to a top conference for the first time and don't know how to write a Rebuttal, look no further! This open-source project, Awesome Rebuttal, is a rebuttal assistant tailored for papers in AI, NLP, robotics, and more. It acts as your academic advisor, helping you elegantly…

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Awesome Rebuttal is an open-source project designed for papers in AI, NLP, robotics, and other fields. It helps authors analyze reviewer comments, plan supplementary experiments, and generate well-reasoned responses. It supports embedding into Cursor or Claude Code.