iiinova — where your digital self keeps evolving

Reposted by Nikos Aletras

SheffieldNLP @sheffieldnlp.bsky.social · 31/01/2025

🎉 Belated Happy New Year 2025 & Happy Lunar New Year! 🐉✨ We’re kicking off the year with SheffieldNLP's latest research, accepted at NAACL, ICLR & ECIR! Stay tuned for a thread summarizing our published work! 👀

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Nikos Aletras @naletras.bsky.social · 28/01/2025

[Prompt:] Write an epic rap battle between Donald Trump and Xi Jinping on East versus West. [Prompt:] Good job. Add 8 Mile vibes. [Prompt:] Cool. Now make Donald rapping in the style of Snoop Dog and Xi in the style of Eminem. ChatGPT 🔥 - DeepSeek❄️

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Nikos Aletras @naletras.bsky.social · 24/01/2025

Help! Looking for two emergency reviewers for an ARR December 2024 paper on topic modelling. Please msg me if you can provide a review by tomorrow 🙏

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Nikos Aletras @naletras.bsky.social · 23/01/2025

Synthetic calibration data (for pruning and quantization) generated by the LLM itself is a better approx of the pre-training data dist than "external" data. Really cool work by Miles (@mileswil.bsky.social) and George (@soon1otis.bsky.social) to be presented at #NAACL2025 arxiv.org/abs/2410.17170

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Reposted by Nikos Aletras

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 Nikos Aletras

Anthony Hughes @antjhughes.bsky.social · 22/12/2024

Findings: ❓ Privacy-preservation at inference-time is really underexplored! 🔍 LMs struggle to prevent PII leakage in their summaries. 👩‍⚖️ Human evaluations reveal privacy risks that metrics may overlook. Paper w/ @naletras.bsky.social and Ning Ma Cc. @sltcdt.bsky.social

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Reposted by Nikos Aletras

ACL 2027 @aclmeeting.bsky.social · 16/12/2024

We invite nominations to join the ACL2025 PC as reviewer or area chair(AC). Review process through ARR Feb cycle. Tentative timeline: Review 1-20 Mar 2025, Rebuttal is 26-31 Mar 2025. ACs must be available throughout the Feb cycle. Nominations by 20 Dec 2024: shorturl.at/TaUh9 #NLProc #ACL2025NLP

forms.gle

Volunteer to join ACL 2025 Programme Committee

Use this form to express your interest in joining the ACL 2025 programme committee as a reviewer or area chair (AC). The review period is 1st to 20th of March 2025. ACs need to be available for variou...

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Nikos Aletras @naletras.bsky.social · 13/12/2024

Participated to a #EU "Survey on Simplifying Applications in EU Grants", I clicked to receive my response by email, it required CAPTCHA obviously. After a few failed attempts, I managed to receive it. Glad that it didn't ask me to provide detailed KTPs, TRLs and a 27B-6.

media.tenor.com

a man in a suit and tie is sitting at a desk .

ALT: a man in a suit and tie is sitting at a desk .

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Reposted by Nikos Aletras

SheffieldNLP @sheffieldnlp.bsky.social · 03/12/2024

Great to have Joe Stacey today for his talk on atomic inference for interpretable NLI! 🚀🌺 Breaking tasks into atoms for transparency + outperforming baselines was inspiring. Loved his insights on robustness—and a fun trip to the Christmas Market after! 🎄✨

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Nikos Aletras @naletras.bsky.social · 23/11/2024

The author response period of @ReviewAcl is way too short (this time during a weekend). We defo can do better by extending it for more meaningful discussions. This perhaps would mean a smaller number (e.g. 3 or 4) of longer ARR cycles but it’s still worth it #nlproc #naacl2025

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Nikos Aletras @naletras.bsky.social · 21/11/2024

Our paper (w/ Bill, Dimitris and Daniel) crossed the 1000 citations mark. While citation count as a metric only partially captures the true impact of a paper, it still indicates how influential this work was at the intersection of law and NLP 1/n

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Reposted by Nikos Aletras

SheffieldNLP @sheffieldnlp.bsky.social · 20/11/2024

A huge thank you to Xiting Wang (Renmin University of China) for an insightful talk! 🌟🌺 Her talk on explaining large & small language models and uncovering safety risks through Concept Activation Vectors was very interesting and truly inspiring. 🚀 scholar.google.com/citations?us...

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