Wish you could predict reviewer 2's comments *before* hitting submit? We did, so we built a system for it 🤖📝 Check out our new paper on generating focused feedback for scientific writing with an #LLM! 🚀 With fantastic coauthors Eric Andreas Vlachos

Happy to share our #ACL2024 paper: "Causal Estimation of Memorisation Profiles" 🎉 Drawing from econometrics, we propose a principled and efficient method to estimate memorisation using only observational data! See 🧵 +Clara Isabel Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel

Interested in automated #factchecking? Check out our new paper on extracting checkworthy claims from documents, to appear at ACL 2024 🚀 With fantastic coauthors Zhenyun Deng Andreas Vlachos.

The call for papers for the 7th FEVERworkshop at #EMNLP is out: fever.ai/workshop.html Deadline for ARR and non-ARR papers on August 15th! And the deadline for the new shared task on real-world #factchecking using the AVERITEC dataset is July 20th fever.ai/task.html !

If you’re at #ACL2024, today at 14:00 pass by our poster! Tiago Pimentel and I will be there to talk about our paper “Causal Estimation of Memorisation Profiles” w Clara Isabel Meister, Thomas Hofmann, and Andreas Vlachos

Excited to be in Bangkok to present our work at ACL! Come say hi at one of these sessions: * August 12 at 12:45 PM at the findings session * August 16 at 10:30 AM at the KnowledgeNLP workshop * August 16 at 12:30 PM at the SDP workshop github.com/ericchamoun/Fo… #ACL2024 #NLProc

Big congrats to Pietro Lesci, Tiago Pimentel, Andreas Vlachos and the rest of the team for winning the best paper award at ACL! Incredible work!

Working on retrieval-augmented models with data you don't fully trust? Concerned about what your LLM might tell its users? Then check out my new paper! arxiv.org/pdf/2409.00781 👇