Main Track
Main Track on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on main track 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 main track, 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.
NeurIPS 2026 Main Track — Theory papers score tracking post Rebuttal [D]
Following the NeurIPS 2026 rebuttal period, a discussion has emerged regarding Theory paper score distributions. Early reports suggest scores may be trending lower across disciplines this year. To facilitate a clearer understanding of the landscape, authors are invited to share their scores (x/x/x), confidence levels (x/x/x), and whether scores shifted post-rebuttal, optionally specifying the broad area of research. One author reported a 4/4/4 score with 3/3/3 confidence.
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 2026 Main Track Theory Paper Tracker- Discussion Thread [D]
Navigating NeurIPS 2026 Main Track Theory paper reviews? This discussion thread explores initial review distributions, a topic often generating questions. One submitter reports a 4/3/3 score with corresponding confidence, noting a historical tendency for theory papers to receive more conservative initial evaluations. Given broader reports of potentially lower scores this cycle, the thread invites fellow theory paper authors to share their experiences—scores and confidence levels—to identify potential patterns. For further context on the review process, see our related article on "Editing NeurIPS Rebuttals."