Slowly but certainly, I am leaving academic research. It's been great seven years at @ufal.mff.cuni.cz. Grateful to all the people I've met along the way 🧡

Well done @zdenekkasner.bsky.social et al! LLMs as Span Annotators: A Comparative Study of LLMs and Humans is accepted to multilingual-multicultural-evaluation.github.io 🎉 See paper arxiv.org/abs/2504.08697

If you think labeling text spans with LLMs is easy, you probably have not tried it yourself (we have! 🙃). Any method you can think of – be it tagging, matching, or indexing – has flaws. In our new preprint, we tested them all 💪We also proposed how to improve one of them. arxiv.org/abs/2601.16946

Do you often find yourself explaining how LLMs work to your students, parents, kids or other teachers? AnimatedLLM can make your life easier! animatedllm.github.io #NLP #NLProc @ufal.mff.cuni.cz @tuetschek.bsky.social

AnimatedLLM - Explaining LLMs with Interactive Visualizations

Understand how large language models work under the hood.

animatedllm.github.io

Šest kolegů vedlo pro DGT (Evropské ředitelství pro překlady) třídenní letní školu v Lucemburku. Učili 40+ pracovníků DGT nejnovější metody strojové podpory překladu a zajištění kvality. Cíl? Zefektivnit překlad legislativy EU do všech členských jazyků! #DGT #UFAL #StrojovyPreklad #AI #EUTools

This video is genius (don't mind the clickbaity title). Sarcasm currently seems to be the only defense against the status quo in Prague. www.youtube.com/watch?v=YZXz...

Prague is a Parody of Europe

YouTube video by Adam Something

youtube.com

How do LLMs compare to human crowdworkers in annotating text spans? 🧑🤖 And how can span annotation help us with evaluating texts? Find out in our new paper: llm-span-annotators.github.io Arxiv: arxiv.org/abs/2504.08697

Large Language Models as Span Annotators

Website for the paper Large Language Models as Span Annotators

llm-span-annotators.github.io

Hello Blue Sky! 👋 This is the official account of the Institute of Formal and Applied Linguistics (ÚFAL for short) at the Faculty of Mathematics and Physics, Charles University in Prague 🇨🇿. Here, we will share news from the life of the institute and our members.

When a model output gets a BLEU score of 12.34: 😶 When you can *see* the errors in the output: 🤯 Check out factgenie, our new error span annotation tool: github.com/ufal/factgenie (Just matured into v1.0.1! 🎂) #nlp #nlg