ICLR (International Conference on Learning Representations) is an annual machine learning conference that uses an open review process. Recent coverage has centered on its reviewing pipeline: reviewers say roughly half the reviews they saw appeared AI-generated, one reviewer flagged three submissions as likely AI-written, and the community debated an ICLR text detector, low-quality submissions, and desk rejections. Posts also cited submission IDs near 1,800 for ICLR 2027 and a de-anonymization issue.
A user reports emails from companies paying first authors of accepted ICLR, NeurIPS and related 2024-2026 papers $300 per survey, up to two papers, plus $200 referral bonuses. The poster suspects the firms are building a high-quality dataset and offers to split referral rewards.
A reviewer for AAAI 2027 and ICLR 2027 says roughly half the reviews they saw appear fully AI-generated or AI-edited, and submitted papers show clear signs of AI writing. The reviewer argues the problem needs far more attention than it currently gets.
A Reddit user shared an ICLR text detector and questioned whether it will impact the review process. The user noted that AI detectors are usually unreliable and hoped it would not.
A reviewer assigned three ICLR and five AAMAS papers says their quality is so poor they would not pass even a workshop. The poster urges authors to submit only ready work and first-timers to get mentor feedback, to avoid wasting reviewers' time.
A reciprocal reviewer for ICLR 2027 posted on Reddit that they have not yet received any paper assignments for review, asking if others are in the same situation. No further information is available.
An ICLR reviewer shared an incomprehensible paper abstract on Reddit, questioning how to critique AI-assisted writing. They noted that simply calling it 'clearly AI writing' is not appropriate, as AI editing is allowed, and critiques should focus on the substantive problems of the writing itself.
A reviewer spent four hours reviewing an ICLR paper and scored it 3/4, only to learn it was desk rejected. The poster says many colleagues face similar outcomes and has heard of people using multiple accounts to bypass the 20-paper limit, with their papers then desk rejected.
An ICLR reviewer says all three assigned papers read like Claude-generated text and share the same core idea of canceling shared terms in paired comparison bounds, suspecting an automated paper-generating setup and raising concerns about top-conference submission quality.
A researcher asks how best to write for NeurIPS, ICLR and ICML audiences and cites Michael J. Black's blog arguing papers should be story-oriented rather than results-oriented, inviting community opinions.
A Reddit thread discusses ICLR OpenReview reviewing, noting this may be the first major conference with large-scale automated research submissions; AI-written text is increasingly hard to detect, leaving reviewers unsure how to identify slop papers.
A Reddit user noticed ICLR submission IDs at roughly 1,800 this cycle and speculated that submissions are down, possibly because researchers are waiting for the August ICLR meta to be released before submitting.
A computer vision researcher asks how to address reviewer novelty concerns given the huge volume of papers published at top conferences each year. They seek advice on framing contributions clearly, distinguishing meaningful incremental progress from insufficiently novel work, and understanding what reviewers look for when judging novelty.
A first-time ICLR submitter asks when papers and supplementary materials become public and whether reviews are visible immediately, fearing code may circulate before review ends.
A Reddit post says ICLR 2027 submissions were exposed to program committee members, linking to an OpenReview statement. It is another anonymity issue for ICLR.
A Reddit user asks authors rejected by NeurIPS and resubmitting to ICLR how much reviewer feedback they implement, especially on novelty or significance concerns, and how they handle the tight deadline. No specific findings are reported.
A NeurIPS author asks how much change is acceptable between acceptance and camera-ready. The paper was rewritten except results and conclusion, added a theorem and about 14 appendix pages, and adjusted the algorithm and hyperparameters, raising concerns of rejection.
A Reddit user questions ICLR's review policy, which requires anyone named on three or more papers to serve as a reviewer but says nothing about qualifications. The poster worries a new student who was only a fourth author on multiple papers could be asked to review without being qualified.
AI conference ICLR 2027 has drawn about 50,000 abstracts, up from 19,500 for ICLR 2026; the surge, driven by AI hype, corporate pay tied to publications and AI-assisted writing, is expected to worsen submission and review quality problems.
A researcher said their ICLR submission ID was 47647 and asked the community why such a large ID appeared. The post offered no further context beyond the submission ID itself.
A researcher whose NeurIPS scores were low (2/3/3) is considering journals like Pattern Recognition and Neurocomputing instead, asking how these journals' review standards and acceptance difficulty compare to NeurIPS, CVPR and ICLR.
An author asks whether they can edit title, abstract, and other submission details for ICLR 2027 up until the main paper deadline, seeking clarification of the submission process.
Users are asking when NeurIPS'26 final decisions will be released, whether they will strictly follow the Sep 24 AoE deadline or could be released earlier around Sep 18 AoE (ICLR abstract deadline).
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