I have four papers accepted at #ACL2026 🥳
LLMs can give the right answer for the wrong reason. My first-author paper w/ @Bollegala, @eltimster shows that checking how a model thinks, not just its final answer, reveals hidden social biases across 8 languages & 13 bias categories.
I'm at ACL presenting these papers! Also excited to chat about developing LLMs that promote *human* agency and well-being, by measuring and accounting for user impacts and implicit assumptions made in human-AI interaction :-) or anything else :P
#ACL2026 #ACL2026NLP
Presenting today @ Grand Hall, 9:00-10:30.
Come say hi👋
Thanks to @MasahiroKaneko_ , @ayaniwa1213 , @preslav_nakov , @chokkanorg for the collaboration!
#ACL2026
🏆 𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱 @ 𝗔𝗖𝗟 𝟮𝟬𝟮𝟲
Thrilled to share that our linguistic paper "The Imperfective Paradox in LLMs" received a Best Paper Award at #ACL2026 ! 🎉
Hoping this encourages more linguistics-informed evaluation in NLP.
aclanthology.org/2026.acl-lo…
I will be at #ACL2026 from July 2--7!
I will be giving a keynote at CDL workshop on controlled rearing and hypothesis generation from language models!
@txucheer and I will present work on cross-modal generalization in VLMs on July 7! Paper: aclanthology.org/2026.acl-lo…
ALT low effort slide on my activities during ACL. Keynote at computational developmental linguistics workship (July 4, 3pm) Poster w/ Tianyang Xu during Poster session G (July 7, 11-12) Recruiting for my lab @ full conference!
New paper at #ACL2026 Findings! 🧵 (1/8)
How do you pick the best in-context examples for an LLM?
Most methods focus on similarity or diversity — but they miss a more fundamental question: how much of the task's latent structure does your demo set actually *cover*?
Late to the party, but very happy to have contributed to this work, which received an SAC Highlight Award at #ACL2026! 🏆🎉
#ACL2026 This year we submitted four papers to ACL 2026 and all are accepted (1 Main + 3 Findings, a 100% acceptance rate). Congratulations to my students, the best team! @SondosBsha59089 @YaxinLuo999999 @mukul_ranjan_ @ShazanGhazi 🎉🎉🎉
Looking forward to #ACL2026, I'll be around July 3-8. Feel free to ping if you want to catch up!
I won't make it to #ICML2026, but many of my co-authors will be there and at ACL to share our work on:
-- calibrated correctness models/introspection
-- skill-based model routing
-- annotation-free routing
-- long-horizon info-seeking PRMs
-- attributed steering for VLMs, multimodal citations/attribution
🧵
Very honored to share that our work receives 🏅SAC Highlight at #ACL2026 !
This work came together as an outcome of resilience, passion, and dedication. Very grateful for my collaborators , reviewers, and ACs in the process!
Meanwhile I have felt so inspired by all the amazing work at #ACL2026 and it’s all the dedication together that made science grow with passion! Looking forward to the next!
Human evaluation is often treated as the gold standard for long-form generation, but how much can we trust it if papers don’t report how it was done?
We study this question in our large-scale survey “Illusions of the Gold Standard” to be presented at @aclmeeting! 🧵1/n
🎉 Happy to share that our paper on function words & language learning (w/ Heidi Getz & @weGotlieb) is accepted to #ACL2026! A little late to the party, but still worth celebrating 🥳
We ask: what statistical properties help a learner abstract grammatical knowledge from linear input? Turns out function words, though often overlooked, play an important role.
Check out our updated preprint: arxiv.org/pdf/2601.21191
🧵 1/4
📌 𝐌𝐚𝐣𝐨𝐫𝐢𝐭𝐲 𝐕𝐨𝐭𝐢𝐧𝐠 𝐨𝐧 𝐏𝐥𝐚𝐢𝐧 𝐓𝐞𝐱𝐭!
Introducing our #ACL2026 Main Track paper!
"𝐌𝐨𝐝𝐞𝐗: 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐨𝐫-𝐅𝐫𝐞𝐞 𝐁𝐞𝐬𝐭-𝐨𝐟-𝐍 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐎𝐩𝐞𝐧-𝐄𝐧𝐝𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧"
(w/ Professor @SharonYixuanLi)
📄 Paper: arxiv.org/pdf/2601.02535
🖥️ Code: github.com/deeplearning-wisc…
🎯 Blog Post: sites.google.com/view/froila…
⚠️ Best-of-N selection is one of the most effective ways to improve LLM outputs.
But there is a catch:
It works naturally when answers are easy to verify. It gets much harder for open-ended generation.
Why?
New paper at #ACL2026 (main): Valid Survey Simulations with Limited Human Data
Can LLMs replace human respondents? Not really; naive use can mislead. But can they still help? Yes!
📷 arxiv.org/abs/2510.11408
w/ @russogiusep @serinachang5 @cervisiarius @krisgligoric
(1/4)
I'm at #ACL2026 through July 7! Would love to connect if you work on LLM evaluation, computational moral cognition, pluralistic alignment, or how models handle conflicting human values.
Catch me at Poster Session G (Grand Hall), July 7, 11:00–12:30 👋
Excited to present my Apple internship work with @maartjeterhoeve , @RinMetcalfSusa and @natschluter at #ACL2026 in San Diego this week!
📌 July 6th, 11:00-12:30 Poster Session E Grand Hall
Interested in the latest research on AI evaluations and heading to #ACL2026 or #ICML2026? ✈️
We went through the accepted papers and curated a selection worth checking out if you’re interested in #AI #evaluations, #benchmarking, evaluation #methodology, and #measurement. 🧵👇
Landed in San Diego for #ACL2026 yesterday, with a pretty nice room view! 🏖️🌊
I will be at these 2 locations for keynotes today if you want to chat 👇
-- “Unifying Video and Audio for Multimodal Understanding and Generation”
23rd International Conference on Spoken Language Translation (@iwslt)
9.40-10.30am (iwslt.org/2026/)
-- “Long-Horizon Video Reasoning and Generation”
4th ACL Workshop on Advances in Language and Vision Research (#ALVR2026)
2.10-2.50pm (alvr-workshop.github.io/)
👋 Looking forward to attending #ACL2026 (in-person in San Diego) and #ICML2026 (probably virtually) for these presentations/workshop keynotes & meeting everyone (also, I'll be in the Bay Area beforehand, for a keynote at the Apple Reasoning and Planning Workshop)!
Feel free to ping if you want to meet up in Bay/SD (I also have July1 partly free in SJ/SF, and several days in SD), and discuss research, life, etc. (we're also hiring at all levels: phd, postdoc, faculty)! 🙂
PS. also meet several of our awesome students/postdocs/alumni attending these 2 conferences to present these works.
👇👇
