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ICLR 2026 Response to LLM-Generated Papers and Reviews In the past few days, there have been many concerns raised about potential LLM-generated papers and low quality LLM-generated reviews We take these concerns seriously, and we want to update the community on the steps we are taking and will be taking over the next two weeks These steps below are based on the policies we outlined in our previous blog post: Policies on Large Language Model
Pangram Predicts 21% of ICLR Reviews are AI-Generated In all seriousness, many ICLR authors and reviewers have been noticing some cases of blantant AI-related scientific misconduct, such as an LLM-generated paper with completely hallucinated references, and many authors claiming to receive completely AI-generated reviews
ICLR updates on LLM-generated papers and reviews - LinkedIn Pangram Labs analyzed all ICLR reviews: https: lnkd in dcdrt9Qt Their classifier distinguishes: Fully AI-generated, Heavily AI-edited, Moderately AI-edited, Lightly AI-edited, and Fully human
Techmeme: Pangram Labs: ~21% of the 75,800 peer reviews . . . Pangram Labs: ~21% of the 75,800 peer reviews submitted for ICLR 2026, a major ML conference, were fully AI-generated, and 50%+ contained signs of AI use — By - Miryam Naddaf 0 — Miryam Naddaf is a science writer based in London
Techmeme - The USPTO issues new guidelines clarifying that . . . Techmeme 3h Pangram Labs: ~21% of the 75,800 peer reviews submitted for ICLR 2026, a major ML conference, were fully AI-generated, and 50%+ contained signs of AI use Full context: https: techme me dM06 NATURE COM Major AI conference flooded with peer reviews written fully by AI
AI Brew News Three AI labs, Sakana, Intology, and Autoscience, submitted AI-generated studies to ICLR, sparking controversy Sakana obtained consent for its submissions, while Intology and Autoscience did not, leading to criticism