reviews
reviews on Beyond Market Intelligence: a running collection of 13 stories we have gathered and hand-picked because they are worth your time. Every post here touches on reviews in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around reviews, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Copilot Code Review Reaches Azure Repos, Billed Per Review with Reporting Two Days Behind
Microsoft now extends GitHub Copilot’s code review capabilities to Azure Repos, recognizing the need for flexibility within the Azure DevOps ecosystem. This expansion allows all Azure DevOps customers to leverage AI-powered code analysis without requiring a migration to GitHub. Reviews are billed per use via your Azure subscription, with cost visibility appearing in Cost Management approximately 48 hours later. Budget alerts will notify you of spending, and organizations are limited to five concurrent reviews.
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]
For those who recently received reviews from NeurIPS, CVPR, ECCV, or similar conferences, and also utilized agentic reviewer tools like the Stanford model, a compelling question arises: how do the reviews compare? We're exploring the divergence between human and LLM assessments, seeking insights into this evolving landscape. Early indications suggest significant variations, prompting a deeper understanding of how AI-assisted review impacts the peer review process. For further context on related challenges, see our article, "My Model Was Cheating on Its Own Test."
Neurips 2026: Modified date on reviews [D]
NeurIPS 2026 Concept & Feasibility Track [D]
Navigating the NeurIPS 2026 Concept & Feasibility (C&F) Track presents unique challenges, particularly regarding reviewer engagement. Initial submissions often receive praise for originality, yet concerns about experimental scope—a permissible outcome per track guidelines—can stall progress. A recent discussion highlights a concerning lack of reviewer response even after rebuttal, raising questions about the track’s visibility and author experiences. Explore insights from fellow researchers and a deeper analysis of post-rebuttal score distributions, as detailed in our "NeurIPS 2026 post-rebuttal score distribution poll."
ARR May Meta Review[D]
Recent discussions reveal a concerning trend: a significant number of authors are experiencing a lack of engagement with ARR May meta reviews. Reports indicate submissions, including rebuttals, are going unacknowledged, raising questions about reviewer participation. This issue, highlighted by /u/Historical_Pause247, impacts authors navigating conference commitments, such as the decision between EMNLP and AACL, as explored in a related article. We encourage community discussion to understand the scope and potential solutions to this challenge.
EMNLP vs AACL commitment: Meta 3.5, reviews 3/3/4, what to do?[D]
Navigating conference commitment decisions can be complex, especially as a first-time solo author. Given your strong reviews—averaging 3/3/4 with a 3.5 meta—both EMNLP and AACL present viable options. Currently, EMNLP generally holds a slightly higher prestige ranking. Considering the meta-review's emphasis on empirical rigor and practical value, alongside the noted concern about presentation, we estimate a reasonable chance for EMNLP Main, though Findings remains a possibility.
Neurips Position Track Rebuttal and Reviews [R]
Navigating the NeurIPS Position Track rebuttal process can feel unclear, especially for first-time conference paper submitters. Receiving a 3/3/5/7 alongside reviews with actionable feedback suggests a promising opportunity for revision. The rebuttal phase allows you to directly address reviewer concerns; the Area Chair (AC) will evaluate these rebuttals alongside the original reviews to determine if your revisions adequately address the feedback. Consider referencing "Link plots/figures in NeurIPS rebuttal [R]" for practical guidance on presenting supplementary data effectively.
NeurIPS 2026 AI-generated reviews [D]
The NeurIPS 2026 paper on AI-generated reviews has sparked considerable debate, particularly regarding the ethics of leveraging LLMs in the peer-review process. Author /u/bricklerex raises a critical point: beyond the study itself, what action is being taken to address potentially problematic AI-assisted reviews? While outright plagiarism is unlikely, concerns exist about superficial engagement with submitted work and the potential for meta-reviewers also utilizing LLMs. For a deeper understanding of the NeurIPS meta-reviewer system, explore "How exactly does the NeurIPS meta reviewer response work?"
NeurIPS 2026 reviews exact timing[D]
The anticipation surrounding NeurIPS 2026 review release dates is understandably high. Many researchers find themselves frequently checking OpenReview, as highlighted by /u/Anshuman3480. While exact timing remains unconfirmed, historical patterns suggest a phased release, typically beginning mid-November. We understand the stress of waiting; staying informed is key. For those tracking submission numbers more broadly, our recent article on "Number of Submissions @ AAAI" offers related insights into the conference timeline. We’ll update this space as official announcements become available.
Number of Submissions @ AAAI [D]
The AAAI submission window has closed, with submission number 32xxx recently logged – a reminder of the intense competition within the field. A key question remains: how can we foster greater transparency in the peer review process, particularly for withdrawn or rejected papers? Increased accountability through public reviews would benefit the entire AI research community. For those exploring submission strategies within AI alignment, our recent article, "AAAI 27 AI Alignment track [D]," offers valuable guidance.
ARR 2026 Meta Review score [D]
Concerns are circulating regarding the accuracy and consistency of ARR 2026 Meta Review scores, specifically around scores of 2.66 and subsequent rounding. A user has raised concerns about potential “uninterested reviewers” and AI-generated assessments impacting overall scores. This highlights a critical need for review quality assurance within the process. Explore our analysis of upcoming NeurIPS reviews, as detailed in "NeurIPS reviews coming in soon! [D]," for further insights into the broader review landscape and potential contributing factors.
NeurIPS reviews coming in soon! [D]
NeurIPS reviews are anticipated to appear around July 22nd at 5:30 PM AoE, based on observations across social platforms. For those who submitted to NeurIPS 2026 – whether to workshops or the main/other tracks – we'd welcome your perspectives on the upcoming reviews. This period marks a critical juncture for researchers. Explore insights into model performance; for example, our recent article on "Schema," a harness achieving 99% on ARC-3, offers a relevant case study in pushing boundaries. Share your thoughts and prepare for the assessments!
Does anyone else miss the old conference ecosystem? [D]
The research community is reflecting on a shift in the conference landscape. Many recall a time when established events like BMVC, ACCV, FG, ICIP, and ICASSP fostered vibrant, specialized communities—FG for face analysis, ICASSP for signal processing, and the others for consistently strong papers. Now, with submission numbers surging and review processes strained, concerns arise about potentially overlooked research.