LLMs didn’t move language modeling research from linguists to AI people, they just moved it from computer scientists who thought language was interesting to computer scientists who thought language was boring

AI is already at work in American newsrooms. We examine 186k articles published this summer and find that ~9% are either fully or partially AI-generated, usually without readers having any idea. Here's what we learned about how AI is influencing local and national journalism:

Do you have strong programming skills but need research experience doing meaningful & exciting CSS projects before heading off to a top graduate school for computational social science PhD? Apply now to predoc with me, @dggoldst.bsky.social @jakehofman.bsky.social www.microsoft.com/en-us/resear...

Evaluating topic models (and document clustering methods) is hard. In fact, since our paper critiquing standard evaluation practices four years ago, there hasn't been a good replacement metric That ends today (we hope)! Our new ACL paper introduces an LLM-based evaluation protocol 🧵

Honored by the feature on my research, grant, and GPU cluster by the Williams magazine. today.williams.edu/magazine/a-c...

A Co-op for Computing

Faculty are diving into the exciting, data-crunching, AI world of GPMoo.

today.williams.edu

Are you tired of using traditional stance detection to measure the polarity of text? Our #NAACL25 paper proposes an approach that uses pairwise comparisons to order texts on a continuous scale, capturing both implicit and explicit evidence in language. 📍Today in Hall 3 from 4-5:30pm Come say hi!

Check out Neha’s Outstanding Paper Award 🏆 winning research on atomic hypothesis decomposition in Session C at 2 pm today!! #NAACL2025

Neha Srikanth@nehasrikanth.bsky.social · last yr.

I'll be presenting this work with @rachelrudinger at #NAACL2025 tomorrow (Wednesday 4/30) in Albuquerque during Session C (Oral/Poster 2) at 2pm! 🔬 Decomposing hypotheses in traditional NLI and defeasible NLI helps us measure various forms of consistency of LLMs. Come join us!

I'll be presenting this work with @rachelrudinger at #NAACL2025 tomorrow (Wednesday 4/30) in Albuquerque during Session C (Oral/Poster 2) at 2pm! 🔬 Decomposing hypotheses in traditional NLI and defeasible NLI helps us measure various forms of consistency of LLMs. Come join us!

🚨 New Paper 🚨 1/ We often assume that well-written text is easier to translate ✏️ But can #LLMs automatically rewrite inputs to improve machine translation? 🌍 Here’s what we found 🧵

I asked Claude 3.7 to count the number of r's in Strawberry ("count the number of r's in strawberry for me") and it wrote a react app that displays a Strawberry, and you click the strawberry to enumerate the number of r's. Wild. Wondering what kind of alignment policies led to this.