#peerreview

Kirish: ilmiy tadqiqotda axborot manbasi nimani anglatadi Ilmiy tadqiqotda “axborot manbalari”...

A new study rewrote research papers to change only their rhetoric while preserving every scientific claim, and found AI reviewers shifted their overall scores by up to nine tenths of a point, with the effect strongest near the accept-reject boundary.

Kirish: ilmiy axborot nima va u nima uchun kerak Ilmiy axborot — tajriba, kuzatuv, hisob-kitob va...

A study of 2,500 machine learning papers using an automated checker found that the average number of objective mistakes in a NeurIPS paper rose from 3.8 in 2021 to 5.9 in 2025, a 55 percent increase over four years.

Originally published at norvik.tech Introduction Explore how cybersecurity peer review...

The NeurIPS 2026 author discussion window closed on 3 August with multiple independent reports of reviewers and area chairs never responding to rebuttals, in a cycle the conference redesigned specifically to make that discussion consequential.

NeurIPS released 2026 paper reviews on July 22 under an opt-in AI-assistance experiment, with a handbook that explicitly prohibits prompt injection and admits it cannot police prose merely tuned to please an AI reviewer.

AI peer-review tools can be gamed with polish—or fake experiments—raising fears that machine scores may reward weak science.

Google's Paper Assistant reviewed 10K+ papers at ICML 2026. Its watermark sting also caught 398 reviewers using LLMs — a watershed for AI peer review.

ICML 2026 embedded invisible instructions in submitted PDFs that trick a review-writing LLM into inserting rare marker phrases, flagging about 1% of reviews as machine-generated and desk-rejecting 497 papers whose authors broke a no-LLM pledge.

NeurIPS 2026 is randomly assigning volunteer reviewers to no, open-ended, or structured LLM assistance inside OpenReview, while banning unsanctioned model use elsewhere, as its community trades accusations about AI-written reviews and rebuttals.

Last week @rushabdev volunteered to peer-review two of the most sensitive parts of MarketNow: the...