Lucy Li

Lucy Li

@lucy3.bsky.social

assistant prof at Wisconsin CS. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at UW, Berkeley, Ai2, MSR, Stanford. lucy3.github.io

5.9K followers674 following411 posts

We won an outstanding paper award at #EMNLP2026! πŸŽ‰πŸŽ‰πŸŽ‰πŸŽ‰

Lucy Li@lucy3.bsky.social

Aruna Srivastava will present @emnlpmeeting.bsky.social on how audio LMs penalize Indian, Chinese, and Nigerian English more so than American and British English in high-stakes settings. #EMNLP2026 joint work w/ @orevaahia.bsky.social; Sun Oct 25 at 16:00! aclanthology.org/2026.emnlp-m...

Lucy Li reposted

We're at #EMNLP2026 with papers & talks across the conference. Come say hello and learn about our latest research!

The information school here is also hiring! "We especially encourage applications from ... the intersection of information, people, technology, and society..." jobs.wisc.edu/jobs/assista...

jobs.wisc.eduAssistant / Associate / Full ProfessorΒ  - Madison, Wisconsin, United StatesCurrent Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:FacultyEmployment Type:Regula...
Lucy Li@lucy3.bsky.social

We are hiring!! "Artificial intelligence, broadly construed. This includes embodied AI and robotics, machine learning and the systems that support it, and AI developed for problems in science, engineering, medicine, education, and society." jobs.wisc.edu/jobs/assista...

We are hiring!! "Artificial intelligence, broadly construed. This includes embodied AI and robotics, machine learning and the systems that support it, and AI developed for problems in science, engineering, medicine, education, and society." jobs.wisc.edu/jobs/assista...

jobs.wisc.eduAssistant / Associate / Full Professor of Computer Sciences - Madison, Wisconsin, United StatesCurrent Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:FacultyEmployment Type:Regula...

Models are sycophantic, and when they do challenge faulty or incorrect inputs, they're ambiguous and ineffective. In a new paper w/ a multilingual co-author team, we find that people may view LM responses that push back, yet still end up believing false content is true. arxiv.org/abs/2610.17703

oh no i forgot to include my mom in the acknowledgements πŸ€¦β€β™€οΈ thanks mom for annotating data

someone should've told PhD me that Underline conference talk recordings are forever and even years later you will be getting email notifications of people watching your talks and all you can hope for is that PhD you wasn't too embarrassing

Lucy Li reposted

This year UMass Amherst CICS will be hiring tenure-track faculty in natural language processing! Job ad to be posted soon. For anyone at #TADA2026 or #COLM2026 this week, I or my colleague Hamed Zamani would love to chat or answer questions about it - just say hi or send me an email to meet!

Lucy Li reposted

We're heading to #COLM2026 next week! Four days of workshops, posters, & talks on our latest fully open AI research, from Olmo Hybrid to evals for AI-assisted scientific writing. 🧡

Lucy Li reposted

It's possible for Jev/Laya/Decision Models to be not that big a deal as tech and massive as a new paradigm. Here's why I'm really excited from an NLP history perspective (thread)

My favorite emails I've gotten ever starting this new job are from The Center for Dairy Research recruiting participants for consumer panels and studies. So far I have gotten invites for taste-testing dairy beverages and queso dip.

Starting off my first lecture later this week as a prof with a little history of NLP! Warren Weaver (known for writing a memorandum that ignited machine translation in 1949, before "artificial intelligence" was even coined as a term) did his BS and PhD at UW-Madison πŸ¦‘πŸ§€

Spent a good amount of this summer digging through a 20+ person team of teachers' free-text annotations, learning what "scaffolding" and "push for rigor" means, and iterating on this pipeline. We find that AI tutors, by default, frequently over-scaffold and rarely push for rigor.

Ai2@ai2.bsky.social

Today we're introducing a preview of TutorMoments, a framework that measures whether AI tutors can make one of the hardest calls in teaching: when to step in and help a student, & when to hold back and let them do the heavy thinking. 🧡

I used to joke that going to Stanford for college w/ palm trees and manicured landscapes was like being on vacation with exams -- summers at UW-Madison have a similar feel. Some evenings are so pretty that these ducks must be paid actors to decorate these lakes also the ice cream is very creamy

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Settling in one place something I haven't experienced for a long time (my phd peers did get things like espresso machines and bed frames but i was always very lazy and wishy washy about it) I am currently buying FURNITURE. my cat hates all of her new trees & beds. she likes human bed

maybe if I had the mentality of my cat, all of my furniture would be cardboard boxes and it would save me a lot of decision fatigue

I used to joke that going to Stanford for college w/ palm trees and manicured landscapes was like being on vacation with exams -- summers at UW-Madison have a similar feel. Some evenings are so pretty that these ducks must be paid actors to decorate these lakes also the ice cream is very creamy

I've also gotten into biking again! I stopped biking at Berkeley because hills and cars but Madison is flatter and has separated-from-road bike paths everywhere! The (wild?) flowers on the side of the paths are definitely paid actors too

This is the "view" from the floor my office is on, in the computer, data, & info sci building the wood paneling reminds me of swiss cheese

Lucy Li reposted

Wrote a brief reflection on poor conceptualizations in AI work and why they matter, something I believe is so startlingly neglected. TL;DR - Poor conceptual foundations can severely undermine the credibility and reliability of knowledge claims.

rigor-in-ai.leaflet.pubBack-to-basics: on poor conceptualizations in AI workTL;DR β€” Poor conceptual foundations can severely undermine the credibility and reliability of knowledge claims. (And, no, your metric is not your construct.)

I have two projects involving Chinese speakers this year, and so I'm saying "I'm going to ask my mom" in project meetings more often than usual

Looking for two emergency reviewers for ACL ARR May, one paper is on educational question generation and one is on historical text!

πŸ‘¨β€πŸŽ¨ update slai = social language and ai w = wisconsin

Lucy Li@lucy3.bsky.social

πŸ‘¨β€πŸŽ¨ update on initial brainstorm sketch to actual sketch:

πŸ‘¨β€πŸŽ¨ update on initial brainstorm sketch to actual sketch:

Lucy Li@lucy3.bsky.social

me: "please draw a wisconsin badger hugging a jar of hazelnut spread except instead of the logo being nutella because it's trademarked it is the logo of my new research group" human πŸ‘¨β€πŸŽ¨:

me: "please draw a wisconsin badger hugging a jar of hazelnut spread except instead of the logo being nutella because it's trademarked it is the logo of my new research group" human πŸ‘¨β€πŸŽ¨:

Lucy Li reposted

New work from my lab! @teagrjohnson.bsky.social built a 12-dimensional narrative framework, annotated Dolma (no small feat given its extreme diversity), and analyzed narrative features across pretraining subsections. Highlight: pretraining data space displays strong narrative organization!

Teagan Johnson@teagrjohnson.bsky.social

1/ LLMs learn narrative from their pretraining data but what narrative content is actually in there? It turns out narrative is wildly unevenly distributed across sources and topics. New preprint with @andrewpiper.bsky.social @elliottash.bsky.social @mariaa.bsky.social:

Lucy Li reposted