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11 results for “Reviewers”
AC comment and our reply disappeared on OpenReview [D]
A researcher reports that an Area Chair's comment and their own reply disappeared from OpenReview, raising concerns about transparency and fairness in the peer review process.
Aug 15, 2026
How much does adding an honest limitations section hurt the paper? [D]
A Reddit user asks whether including an honest limitations section in AI research papers harms acceptance, influences reviewer bias, or affects AI systems reading the paper.
Aug 15, 2026
For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]
A Reddit user solicits anecdotal comparisons between human peer reviews and AI-generated reviews for AI conference submissions, reflecting community curiosity about AI's emerging role in academic evaluation.
Aug 14, 2026
Neurips 2026: Modified date on reviews [D]
A Reddit user observes that NeurIPS 2026 review modification timestamps are publicly visible and questions whether recent modifications correlate with score changes — particularly upward adjustments — amid absence of mandatory final justifications.
Aug 14, 2026
NeurIPS AI Assisted Review authors/reviewers? [D]
A Reddit user describes inconsistencies and procedural concerns in NeurIPS' experimental AI-assisted peer review process, including superficial reviews, broken double-blindness, and lack of LLM integration in reviewer reasoning.
Aug 9, 2026
RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review
RubricReviewer is a new LLM-based peer review framework that explicitly separates rubric generation from review writing to improve comprehensiveness, discriminative quality, and robustness against adversarial attacks on real-world submissions.
Aug 4, 2026
Dropbox Integrates MCP and Dash to Close the Gap Between Security Design and Code Review
Dropbox integrated Model Context Protocol (MCP) with its internal Dash knowledge platform to inject security design context—such as threat models and requirements—into AI-assisted code reviews, aiming to align implementation with security intent.
Jul 31, 2026
AI-assisted pre-review of open-source software submissions: an experience report from BOSC 2026
The Bioinformatics Open Source Conference (BOSC) piloted an AI-assisted pre-review system for abstracts at its 2026 conference, using custom agents to assess openness, licensing, and runnability — with all final acceptance decisions retained by human reviewers.
Jul 31, 2026
Do Methods Support the Claims? Intra-Paper Verification for Peer Review
Researchers propose an LLM-based framework called 'intra-paper claim verification' to assess whether a paper's stated novelty claims are substantiated by its own methodology — addressing a gap in automated peer review tools that currently only compare claims to external literature.
Jul 30, 2026
How papers are selected for Best Paper, Oral, or Highlight presentation at major ML/CV conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR? [D]
A Reddit user asks for transparency about how top-tier ML/CV conferences select papers for Best Paper, Oral, and Highlight presentations — revealing institutional opacity in academic recognition processes.
Published Jul 2, 2026 · Analyzed Jul 6, 2026
Presentation: AI Works, Pull Requests Don’t: How AI is Breaking the SDLC and What to Do about it
AI-generated code submissions are overwhelming human review capacity in software development, creating bottlenecks and technical debt, prompting engineering leaders to adopt automated validation tools.
Published Jun 26, 2026 · Analyzed Jul 4, 2026