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Atsuki Yamaguchi

@gucciiiii.bsky.social
14 followers 38 following 2 posts

PhD student at @sheffieldnlp.bsky.social. Views are my own. #NLProc gucci-j.github.io/about

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Atsuki Yamaguchi @gucciiiii.bsky.social · 25/01/2025
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)
aclrollingreview.org
ARR Reviewer Guidelines
A peer review platform for the Association for Computational Linguistics
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Reposted by Atsuki Yamaguchi
Anna Rogers @annarogers.bsky.social · 15/01/2025
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
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Reposted by Atsuki Yamaguchi
Nikos Aletras @naletras.bsky.social · 10/01/2025
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...
jobs.ac.uk
Lecturer in Computational Social Media Analysis and Natural Language Processing at University of Sheffield
An academic position as a Lecturer in Computational Social Media Analysis and Natural Language Processing is being advertised on jobs.ac.uk. Click now to find more details and explore additional acade...
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Reposted by Atsuki Yamaguchi
Anthony Hughes @antjhughes.bsky.social · 22/12/2024
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
arxiv.org
How Private are Language Models in Abstractive Summarization?
Language models (LMs) have shown outstanding performance in text summarization including sensitive domains such as medicine and law. In these settings, it is important that personally identifying info...
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Reposted by Atsuki Yamaguchi
SheffieldNLP @sheffieldnlp.bsky.social · 06/12/2024
🎉 Exciting news from SheffieldNLP! Check out our recent publications featured at COLING 2025 and in Systematic Reviews journal! 📚✨
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