"How deep is your love? Like the ocean?" Looking out at the Balearic Sea got me thinking about ancient feelings. Just how deep *did* the Romans and Greeks love? Come find out at the first poster session of @LREC2026! 📍 Poster 1196 🕐 11:20 - 13:00
Heidelberg University NLP Group
@hd-nlp.bsky.social
Welcome to the Natural Language Processing Group at the Computational Linguistics Department at @uniheidelberg.bsky.social led by @anettemfrank.bsky.social #NLProc #ML
Frederick's talk upcoming today! Learn about how MLLMs generalize across languages!
Looking at Bruegel's Tower of Babel in Vienna makes you wonder: How can multilingual language models overcome the language barriers? Find out tomorrow! 📍 Level 1 (ironic, right?), Room 1.15-1 🕐 2 PM #ACL2025NLP
How and when do multilingual LMs achieve cross-lingual generalization during pre-training? And why do later, supposedly more advanced checkpoints, lose some language identification abilities in the process? Our #ACL2025 paper investigates.
What did Aristotle actually write? We think we know, but reality is messy. As ancient Greek texts traveled through 2,500 years of history, they were copied and recopied countless times, accumulating subtle errors with each generation. Our new #NAACL2025 paper tackles this fascinating challenge.
Debates aren’t always black and white—opposing sides often share common ground. These partial agreements are key for meaningful compromises Presenting “Perspectivized Stance Vectors” (PSVs) — an interpretable method to identify nuanced (dis)agreements 📜 arxiv.org/abs/2502.09644 🧵 More details below
🎉 Exciting news from our team! The final paper of @aicoffeebreak.bsky.social's PhD journey is accepted at #ICLR2025! 🙌 🖼️📄 Check out her original post below for more details on Vision & Language Models (VLMs), their modality use and their self-consistency 🔥
The last paper of my PhD is accepted at ICLR 2025! 🙌 🎊 We investigate the reliance of modern Vision & Language Models (VLMs) on image🖼️ vs. text📄 inputs when generating answers vs. explanations, revealing fascinating insights into their modality use and self-consistency. Takeaways: 👇