Good morning everyone in Mexico for NAACL! Join us at 9:30 for the Student Research Workshop panel! PhD students and undergrads: come with questions about research, grad school, job market, or anything you might want to hear from our lovely panelists!

Isaac does some of the most impactful NLP work that I know! This is not just 'Google LM magic', it's the result of extremely hard-nosed and outside-the-box data work and linguistic work, as well as working with speakers. And the whole combo that makes Isaac Isaac!

I'm fascinated by the lack of determiner on (the?) Labour Conference, and why this sounds so strange to me! We do name-ize things like "at ICLR" with no determiner, but all the "at Labor Conference" kind of breaks my brain. Would someone who has nothing to do with Labour use it?

🔊Panel Announcement! Very excited to ask “Is this the end of Scale?” at the Global Summit in Boston on Dec 4: algopreneurship.ai With Jeremy D (Databricks), Lio W (CBMM), Isabel Papadimitriou @ ICML 🌄🌲🐋 (Kempner Institute at Harvard University), Kazuki I (Harvard University), Alex Reinhart (Pillar VC)

I will be at NeurIPS starting tomorrow! Would love to chat about interpretability, linguistics, language structure, meaning in LLMs. Reach out! Aaaand if you love Vancouver, apply to do a PhD at UBC and work with me! linguistics.ubc.ca/graduate/admis…

Computational linguists Julie Kallini (left) and Christopher Potts think that large language models might have something to teach us about the babbling of babies. quantamagazine.org/can-ai-models-…

😼SMOL DATA ALERT! 😼Anouncing SMOL, a professionally-translated dataset for 115 very low-resource languages! Paper: arxiv.org/pdf/2502.12301 Huggingface: huggingface.co/datasets/googl…

Man, those sparse autoencoder concepts sure can be unstable: you see one thing if you train it once and something totally different if you train it again... unless you use Archetypal SAEs!

A key hypothesis in the history of linguistics is that different constructions share underlying structure. We take advantage of recent advances in mechanistic interpretability to test this hypothesis in Language Models. New work with Kyle Mahowald and Christopher Potts! 🧵👇

Check out our ACL paper! We use shapley interactions to see which words (and phones) interact non-linearly -- what we lose when we assume linear relationships between features. Chat to Diganta in Vienna!

📅 25-Year ToT Award (2000) Daniel Gildea & Daniel Jurafsky: “Automatic Labeling of Semantic Roles” ACL 2000 🔗 aclanthology.org/P00-1065/ A foundational paper that paved the way for semantic role labeling and beyond. 🌟