EMNLP

EMNLP on Beyond Market Intelligence: a running collection of 8 stories we have gathered and hand-picked because they are worth your time. Every post here touches on emnlp 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 emnlp, 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

Travel and stay accommodation for EMNLP [D]

Congratulations on your EMNLP 2026 paper acceptance – a significant milestone for a PhD student! Securing travel and accommodation can be a challenge, particularly without departmental funding. Beyond the Diversity & Inclusion subsidies and volunteer opportunities you’ve already identified, explore broader AI conference grant databases like those maintained by AAAI and ACL. The D&I subsidies typically offer partial coverage; amounts vary, so review the EMNLP 2026 guidelines for specifics.

Machine Learning

Is EMNLP not going to Provide a MetaReview [D]

A concerning trend has emerged within the NLP community: the absence of meta-reviews following EMNLP decisions. Unlike ACL, EMNLP has not publicly provided these crucial evaluations, leaving submitters in the dark regarding the rationale behind accept/reject outcomes. One user, facing a situation where an Area Chair’s recommendation for acceptance was overridden by reviewers, is questioning whether low reviewer scores influenced the decision. This uncertainty complicates decisions about resubmission and potential ARR cycles.

EMNLP26 Cost [D]
Machine Learning

EMNLP26 Cost [D]

Navigating EMNLP26 costs can be confusing, as highlighted by recent community discussion. For students with one accepted paper, understanding the actual attendance price is key. Current registration rates fluctuate—registering now in August may present a $350 or $550 option. Confirm pricing details directly with the conference organizers for accurate information. Congratulations to all accepted researchers! For those considering career paths in AI, explore "How to Build a Career in AI: 3 Distinct Pathways" for valuable insights.

Machine Learning

Rejected at EMNLP with decent scores. What can be done next? [D]

Facing rejection at EMNLP, even with promising scores (average 2.83), can be disheartening, especially for a first-time solo author. The key now is strategic action. Prioritize resubmission to ACL Rolling Review (ARR) to leverage existing reviewer feedback—though anticipate new assignments. Given your need for timely publication for internships, a swift ARR resubmission is likely the most effective path. Consider how low-capacity networks can acquire fine-grained scoring, as explored in "Estimating from No Data: Deriving a Continuous Score from Categories," for potential avenues of improvement.

Machine Learning

Missed EMNLP commitment deadline, what can be done? [D]

Facing a missed EMNLP commitment deadline after a positive ARR review can be frustrating. Many researchers encounter deadline complexities with OpenReview systems, as highlighted in discussions around ICLR and NeurIPS. While responsibility rests with the submitter, the sudden shift in deadlines warrants immediate communication with the Program and Workflow Chairs. Given the anticipated volume of submissions, explore all avenues for recourse, emphasizing the circumstances. Prompt action, as you've already taken, demonstrates a commitment to the process.

Machine Learning

EMNLP Commitment Submission number [D]

EMNLP Submission [D] from /u/Huge_Argument_6979 presents a commitment focused on exploring the scale of commitments within the conference. With an estimated 4,000 submissions, this initiative seeks to understand the breadth of projects and contributions. It’s a valuable opportunity to assess the community's engagement and the diverse directions of AI-native spreadsheet technology. For those interested in sharing their own projects and initiatives, see the related "Self-Promotion Thread [D]" for a dedicated space to connect and collaborate.

Machine Learning

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.

Machine Learning

short-paper at ACL/EMNLP/EACL [R]

Navigating the short-paper submission process for ACL/EMNLP/EACL can be challenging. Acceptance rates for these concise submissions often lag behind those of full-length papers, and understanding the landscape is key. We're seeking insights from anyone who has successfully had a short-paper accepted to these prestigious conferences in 2025 or 2026. Sharing your track and overall assessment would be invaluable. Recent developments, like those detailed in "Prism accidentally leaked," highlight the complexities of the AI research pipeline.