ICML reviewers debate AI-written papers

This is a useful snapshot of where ML publishing is headed: everyone can spot LLM-flavored prose, but conferences still lack a clean, enforceable standard for separating bad writing from actual misconduct.

• –The thread exposes a growing gap between anti-AI sentiment in academia and the written policies major conferences are actually enforcing
• –ICML's published rules focus on review integrity, not a blanket ban on AI-assisted paper drafting, which makes "sounds AI written" a weak standalone rejection reason
• –For reviewers, the stronger grounds remain the traditional ones: incoherence, unsupported claims, fabricated citations, weak experiments, or unverifiable results
• –Expect more conferences to shift from vague authorship norms toward disclosure requirements and clearer misconduct definitions as AI-generated submissions rise