Catherine Arnett

@catherinearnett.bsky.social

NLP Researcher at EleutherAI, PhD UC San Diego Linguistics. Working on making language technologies more equitable. 📍Oxford, UK. She/her. https://catherinearnett.github.io/

🚨 [Token][ization] Paper Alert 🚨 Tokenization is a wildly understudied area of language modeling despite it having effects across all of NLP. Over the past ~8 months, 32 (!) tokenizer researchers put together the most comprehensive survey of the field. Check it out!

Bild

Will the same model become a different player depending on the interface language? We report our findings in our paper "Skill Issue: Are Skills Language-Invariant in LLMs?". And with it, TextArena is now multilingual 🌍 with 65 games in 193 languages. 🧵

Xiulin has been doing some extremely interesting and important work about how to go about actually comparable language model evaluation across models and across languages. We have some recommendations - check them out in our new preprint and catch the paper at #EMNLP2026!

Xiulin Yang@xiulinyang.bsky.social · last mo.

🍎🍊 How would you know if a language model is better at one language than another? Our #EMNLP2026 paper argues that only one metric can actually lead to fair crosslingual evaluation. This work is a collaboration with @wegotlieb.bsky.social & @catherinearnett.bsky.social! (1/5)

In film, "we'll fix it in post" is what you say when something went wrong on set and you don't want to redo it. AI research has made it our entire methodology: train the model, then patch whatever comes out. Our new ICML oral argues this can't be the basis of a science of AI. 🧵

Bild