openreview

openreview on Beyond Market Intelligence: a running collection of 9 stories we have gathered and hand-picked because they are worth your time. Every post here touches on openreview 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 openreview, 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.

Machine Learning

[N] EACL 2027 Industry Track - Deadline 11 September [N]

The EACL 2027 Industry Track offers a vital platform to showcase practical insights and emerging challenges in deploying language technologies. We invite submissions from industry, government, and non-profit organizations—those building real-world applications beyond the core NLP community. Papers, limited to six pages (excluding references and appendices), require a dedicated "Limitations" section for acceptance. The deadline is approaching: **September 11, 2026**. For details, see the full CFP and consider contributing as a reviewer.

Machine Learning

AC comment and our reply disappeared on OpenReview [D]

A concerning issue has emerged on OpenReview: several users report that an AC's initial comment and the author's subsequent reply have vanished. This comment, crucial for understanding reviewer feedback and addressing concerns, summarized key questions and weaknesses. The disappearance raises questions about transparency, particularly if it obscures the rationale behind potential rejection decisions. We've encountered similar discussions around data management challenges, as explored in our article, "A Day in the Life of a Data Scientist in 2026."

Machine Learning

ECCV workshop, camera ready instructions? [D]

Navigating workshop camera-ready submissions can be surprisingly opaque. Many organizers, like those for ECCV, lack readily available instructions, leaving authors understandably uncertain. While some workshops facilitate PDF uploads via OpenReview, crucial details regarding copyright forms and LaTeX source files remain unclear. To ensure a smooth submission process, proactively seek clarification from the workshop team. For broader context on AI-driven workflows and infrastructure supporting research, explore our recent article, "Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI."

Machine Learning

A question on ICLR and NeurIPS deadlines, and OpenReview [D]

Navigating the complex conference submission landscape can be challenging, particularly with the recent uncertainty surrounding NeurIPS. Many are understandably confused by the sudden silence following initial reviews. Given that the ICLR abstract deadline precedes the NeurIPS results announcement, a critical question arises: can a submission be resubmitted to ICLR without triggering flags on OpenReview? We address this common concern and encourage users to explore the platform’s guidelines for clarity.

Machine Learning

Link plots/figures in NeurIPS rebuttal [R]

Reviewers at NeurIPS requested additional experiments best visualized through plots and figures, a format often more digestible than tabular data. While OpenReview’s technical guidelines restrict external links, experienced submitters sometimes leverage this for clarity. Proceeding cautiously is advised; a minor infraction is more likely than outright rejection, though outcomes vary. Consider the DONUT text extraction model, as discussed in a related article, for inspiration on effectively presenting complex data. Ultimately, advocate for OpenReview’s adoption of modern markdown to support figure embeds directly.

Missed AAAI reciprocal reviewer nomination deadline — risk of desk rejection? [D]
Machine Learning

Missed AAAI reciprocal reviewer nomination deadline — risk of desk rejection? [D]

Facing potential desk rejection at AAAI due to a missed reciprocal reviewer nomination? Many authors encounter administrative oversights—this situation, where a qualified co-author was available but not initially nominated, is a common concern. While AAAI policy indicates a risk of rejection, workflow chairs often demonstrate flexibility when a readily available, qualified reviewer emerges. Prompt communication and proactive action, such as adding the reviewer to OpenReview and contacting the chairs, significantly improve the chances of a positive outcome.

Machine Learning

Happy openreview refresh day to all those who celebrate [D]

Happy refresh day to the [D] community—may the odds be ever in your favor! As a NeurIPS Area Chair, this year's incentive structure appears to be yielding positive results, significantly reducing the need for reviewer follow-up. This marks a notable improvement over the past five years of Area Chair experience. Let's hope for active participation in discussions as well. For further context on the broader AI landscape and the challenges it presents, explore our interview with the Substack CEO on "The AI Slop Problem."

Machine Learning

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.

Machine Learning

AAAI 27 AI Alignment track [D]

Navigating the AI Alignment track at AAAI 27 can feel opaque. Submission details for track [D] appear exclusively on OpenReview, accessible here: [link]. This track, alongside the Artificial Intelligence for Social Impact, Conference, and Innovative Applications of AI tracks, represents a crucial intersection of research and real-world impact. Understanding the submission process is key to contributing to this vital area. For deeper insight into the evolving landscape of AI progress, explore our analysis of the recent DeepMind/Kaggle challenge, "Measuring Progress Toward AGI – Cognitive Abilities."