I think all ARR reviewers should go through the common review issues section before reviewing, regardless of their reviewing experience. I've received too many "The authors could also do [extra experiment X]" comments as weaknesses in this cycle. This is really annoying. (1/2)

In #nlp org news @aclmeeting.bsky.social: there were a few clarifications to ACLPUB, based on frequent issues on ARR. TLDR: - don't abuse font sizes for figures and tables - limitations & ethical considerations sections go after conclusion, no page breaks - two-column formatting for appendices

We're hiring! Looking for a Lecturer (~Assistant Prof.) at the intersection of #NLProc and computational social media analysis (i.e. computational social science) Info and how to apply: www.jobs.ac.uk/job/DLI664/l...

Wrote up my first piece of PhD work last week! 🧵 Summarization via LMs is great at extracting info from documents, but how does summarization look in sensitive settings where privacy-preservation is essential? Short answer: LMs are poor privacy preservers. Arxiv: arxiv.org/abs/2412.12040

🎉 Exciting news from SheffieldNLP! Check out our recent publications featured at COLING 2025 and in Systematic Reviews journal! 📚✨