My new book on Linguistic Relativity (with Jeff Pelletier) just dropped with Oxford Philosophy: academic.oup.com/book/59889?log…. We discuss its history, philosophy, cognitive science, African philosophy, and even LLMs. Paperback coming soon!

How do we know if a language model really generalizes - or is just repeating patterns it’s memorized? Let’s talk about consistency, contamination, and the future of trustworthy AI. 👇 🎧 New #WiAIR Podcast w/ Dieuwke Hupkes drops July 16! 1/

🧠 What does it really mean for an LLM to generalize? And are we even measuring it right? In the latest #WiAIR episode, we talk with Dr. Dieuwke Hupkes (Dieuwke Hupkes), a Research Scientist at Meta AI, about one of the most comprehensive reviews of generalization in NLP. 👇🧵 (1/8)

🚀 Kaggle Benchmarks is here! Get competition-grade rigor for AI model evaluation. Let Kaggle handle infrastructure while you focus on AI breakthroughs. View model performance on 70+ leaderboards, including AI at Meta's MultiLoKo. Dive in: kaggle.com/blog/announcin…

Thrilled about the launch of this platform 🤩, the feature to host secret test sets is a deal breaker in the game against contamination and a gift to both benchmark builders and modellers 🔥🔥 Excited to be one of the first to use it for AI at Meta's MultiLoKo's test set 💪!

Could not be more thrilled about this partnership, allowing us to keep MultiLoKo's test set truly hidden and have experts at Kaggle independently run the leaderboard 😍🔥💪

Congratulations to the winners of the 2025 IJCAI–JAIR Prize for their paper “Compositionality Decomposed: How Do Neural Networks Generalise?” — Dieuwke Hupkes, Verna Dankers, Mathijs Mul, and Elia Bruni!   arxiv.org/abs/1908.08351  #IJCAI2025

Proud to accept a 5y outstanding paper award IJCAIconf 🏆 from JAIR for the impact Compositionality Decomposed has had, on behalf of the team w/ Dieuwke Hupkes, elia bruni & Mathijs Mul! 🧡 Come to room 513 on [email protected] to learn about rethinking compgen evaluation in the LLM era 🤖

Many thanks for this big honour! 🤩

🏆 full house at the IJCAI-JAIR Best Paper Award #talk delivered by Verna Dankers on Compositionality Decomposed: How do Neural Networks Generalise?! #IJCAI2025

Couldn't be more proud to have Verna Dankers @ EMNLP25 represent us for the IJCAJ-JAIR best paper award in her new home town and deliver a very well received talk! 😍