David Jurgens

@davidjurgens.bsky.social

Associate prof at @UMich in SI and CSE working in computational social science and natural language processing. PI of the Blablablab blablablab.si.umich.edu

Text as Data has been a wonderful, long-running, non-archival workshop for empirical research at the intersection of AI and social science (especially work involving text). After a few years off, it will be happening again this year as a one-day event in early October!

Denis@dpeskoff.bsky.social · 2mo ago

Do you work across computational methods, social sciences, and the humanities? Submit to Text as Data 2026! 📄 One-page submissions 🔓 Non-archival ⏰ Due August 1 📍 October 5 @UCBerkeley tada2026.org

Do you work across computational methods, social sciences, and the humanities? Submit to Text as Data 2026! 📄 One-page submissions 🔓 Non-archival ⏰ Due August 1 📍 October 5 @UCBerkeley tada2026.org

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We are aware that it is no longer possible to post Official Comments on ARR May 2026 submissions, even though the Author Reponse period runs until July 14. This is being investigated and it will be fixed. Authors do not need to submit Author-Editor Confidential Comments.

Peer review was one of the most-discussed topics at #ACL2026 . Many folks were concerned about the incredible growth in the number of ARR submissions (17K for the May26 ARR cycle 😱), and even more shocked that ~40% didn't have any authors qualified to review. What is going on?? I did some digging...

I'm at #ACL2026 right now and looking forward to seeing all the cool work. But a lot of NLP is also being published at other venues like NeurIPS/ICLR/COLM/etc. I was wondering to what extent researchers are shifting where they publish in the post-LLM era, so I measured it. arxiv.org/abs/2607.02416

The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing

Natural Language Processing (NLP) has traditionally been published in its core disciplinary venues like ACL. However, advances in Large Language Models (LLMs) has led to a blurring of the disciplinary...

arxiv.org

I'm on a new committee reviewing ARR's Responsible NLP Checklist and looking to potentially make changes. I'd love to hear others' thoughts on what is working well or needs revised, especially given it might be fresh in memory from the recent ARR cycle. 1/

📜 Some of you may have heard about the desk-rejected papers from the ACL'26/ARR Jan 2026 or October 2025 cycles because of hallucinated references. These cases were detected post-commitment. ACL Program chairs have an official statement on this: 2026.aclweb.org/acl_statement/ #ACL2026NLP #NLProc

ACL Statement on Desk Rejecting Papers with Hallucinated References

Official website for the 64th Annual Meeting of the Association for Computational Linguistics

2026.aclweb.org

I've been thinking a lot about what is Information Science and what a bachelors degree (BSI) should look like in the future. The substance of information science—how people seek information, how systems present it, how access changes behavior, the ethics of all of it—has never been more relevant.

Glad to see our work on optimizing system prompts out there at #ICLR2026. My favorite result is that these optimized system prompts transfer across models and across languages—easy performance gains. If you're at ICLR, @leczhang.bsky.social can give you all the details 🎉

Lechen Zhang@leczhang.bsky.social · 4mo ago

🚨 𝙋𝙤𝙨𝙩𝙚𝙧 @ #ICLR2026 🇧🇷 🚨 Is your 𝘀𝘆𝘀𝘁𝗲𝗺 𝗽𝗿𝗼𝗺𝗽𝘁 actually optimal? 🚀 Catch me this Saturday (Apr 25) 3:15–5:45pm at Pavilion 3, Poster #1314 presenting 𝙎𝙋𝙍𝙄𝙂, an automatic genetic optimizer for system prompts! Come check it out and let's chat!

🗓️ The ARR March review deadline is approaching: April 20 AoE. Finishing up your review? Run it through REVAS, a peer review assistant that makes your suggestions more actionable, flags unsupported claims, and grounds your feedback in the paper. 👉 revas.mbzuai.ac.ae

REVAS — AI-Powered Peer Review Feedback for Academics

REVAS analyzes the weakness section of your peer review, scoring each paragraph on actionability, helpfulness, grounding, and verifiability.

revas.mbzuai.ac.ae

I know there's a lot of discussion about how peer review is broken, but I've been surprised by the sheer volume of unhinged toxicity towards the PCs over the ACL delayed decisions. One example email is below and there's plenty of other examples from X/Reddit if you go looking.

A toxic email directed towards the ACL program chairs because of a delayed notification

To ensure compliance w peer-review policies, ICML has removed 795 reviews (1% of total) by reviewers who used LLMs when they explicitly agreed to not. Consequently, 497 papers (2% of all submissions) of these (reciprocal) reviewers have been desk rejected Details in blog post 👇

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