🧑🔬I’m recruiting PhD students in Natural Language Processing @unileipzig.bsky.social Computer Science, together with @scadsai.bsky.social! Topics include, but aren’t limited to: 🔎Linguistic Interpretability 🌍Multilingual Evaluation 📖Computational Typology Please share! #NLProc #NLP
Max Müller-Eberstein
@mxij.me
Postdoc AI Researcher (NLP) @ ITU Copenhagen 🧭 https://mxij.me
Big congrats to our postdoc @elisabassignana.bsky.social for the well deserved Social Impact award at #ACL2025NLP!!
Super proud to receive the Social Impact award at #ACL2025NLP for our paper together with @amandacurry.bsky.social (eq contribution) and @dirkhovy.bsky.social 🎉 #NLProc
🇦🇹 #ACL2025NLP 2/2: How to achieve state-of-the art speech recognition for people with atypical speech in extremely low-resource scenarios 🍏
📄 Hypernetworks for Personalizing ASR to Atypical Speech 👥 @mxij.me *, Dianna Yee*, Karren Yang, Gautam Varma Mantena, Colin Lea 🔗 doi.org/10.1162/tacl... 🎯 Using hypernetworks, we enable ASR for atypical speech via a mix of dynamic personalization and targeted adaptation sharing.
🇦🇹 #ACL2025NLP 1/2: Bringing back train/test separation in NLP w/ @annarogers.bsky.social and Rob van der Goot. Plus, all the coffee puns ☕️
📄 DECAF: A Dynamically Extensible Corpus Analysis Framework 👥 @mxij.me Rob van der Goot @annarogers.bsky.social 🔗 mxij.me/x/decaf 🎯 DECAF supports generalization research with clear train/test separation at scale.
Tomorrow at 14:00 in Copenhagen's Natural History Museum: 🗳️ @dustinbwright.com on Political Opinions in LLMs ♻️ myself on Learning Dynamics Consistencies 🍻 drinks @aicentre.dk
📣 Join us for our Last Fridays Talks on Friday, 25 April! This time, we'll explore research within the Speech & Language Collaboratory with two exciting talks by @dustinbwright.com (@copenlu.bsky.social) and @mxijme.bsky.social (@itu.dk). Find more information here www.aicentre.dk/events/last-...
Heading to Tallinn for @nodalida.bsky.social! 🇪🇪 We’re presenting our work on: 🇩🇰 Sun, Mar 2: "DaKultur: Evaluating the Cultural Awareness of LLMs for Danish“ (10:30) 🤖 Tue, Mar 4: "SnakModel: Lessons from Training Our Open Danish LLM" (10:45) Finally, networking over some lovely Estonian soup! 🍲
9.6 million seconds = 1 PhD 🔥 Finally analyzed my PhD time tracking data so you can plan your own research journey more effectively: mxij.me/x/phd-learning-dynamics For current students: I hope this helps put your journey into perspective. Wishing you all the best!
The Learning Dynamics of a PhD
This is what a PhD looks like: 9.6 million seconds of research.
mxij.me
The "AI" framing of large language models is currently widespread. But what do we even mean by "intelligence" - and what role does it really play in the research agenda in CogSci, NLP, and other fields? We made a survey. Could you help us pin this down?
What do YOU mean by "intelligence", and does ChatGPT fit your definition? We collected the major criteria used in CogSci and other fields, and designed a survey to find out! Access link: www.survey-xact.dk/collect Code: 4S7V-SN4M-S536 Time: 5-10 mins
Hand-delivered the only part of the PhD thesis Barbara hasn’t proof-read: the acknowledgements 📖✨Thanks for the lovely visit to Munich! 🥨