> #academia

8 posts

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What’s New in ICML 2026 Peer Review; ICML Blog (blog.icml.cc)

ICML published some new rules for their 2026 peer review. Most notable are measures to combat AI slop and other ways of peer review abuse. They also mandate participating in organization of the conference if you submit at least four papers. Also, they will provide “advanced reasoning” LLM feedback before the submission deadline for authors.

It is clear that AI is causing stark changes in the research landscape. Right now it’s focused on AI slop, peer-review abuse, and so on. But I believe this is only the beginning, and we will have to deal with the broader impact of AI upending research as it was before.

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Highly Opinionated Advice on How to Write ML Papers (alignmentforum.org)

Supreme advice on how to write papers for submission to ML conferences. It covers not just the writing, but also what to look for before writing and when/how to start writing.

It also covers some less nice parts of modern academia, like the randomness of review processes (see the table below for how two groups of reviewers rate the same papers) and that peer review does not maximize truth-seeking.

A table showing that reviewer decisions do not agree.

Bubbles

1. The days of human intellectual contribution are numbered due to AI. 2. AI labs claiming to have solved software engineering are still hiring software engineers. Who is right here? Can both of these facts be true at the same time?