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ArXiv is implementing a new policy that bans authors for one year if submitted papers show clear evidence of unchecked AI generation, such as hallucinated references or LLM comments, reinforcing that authors are fully responsible for content regardless of how it was produced.
ArXiv, a popular preprint platform, will ban authors for one year if they submit papers containing clear signs of unchecked LLM-generated content, such as hallucinated references or LLM meta-comments, to reduce AI slop.
Author seeks advice on anonymizing GitHub repositories when submitting AI/ML papers to conferences.
A tier-3 college final-year ISE student with ongoing ML research publications (TMLR, NeurIPS targets) seeks advice on the practical value of research credentials for industry jobs in India and higher studies abroad, versus traditional DSA/dev focus.
A researcher discusses their ICML 2026 paper review experience where a reviewer increased their score during rebuttal but then decreased it again, expressing concern about rejection prospects.