How can we combine the process-level insight that think-aloud studies give us with the large scale that modern online experiments permit? In our new CogSci paper, we show that speech-to-text models and LLMs enable us to scale up the think-aloud method to large experiments!

Can we record and study human chains of thought? Check out our new work led by @danielwurgaft.bsky.social and @benpry.bsky.social !!

Some absolutely marvellous work from @gandhikanishk.bsky.social et al! Wow!

1/13 New Paper!! We try to understand why some LMs self-improve their reasoning while others hit a wall. The key? Cognitive behaviors! Read our paper on how the right cognitive behaviors can make all the difference in a model's ability to improve with RL! 🧵

emotionally, i’m constantly walking into a glass door

Can Large Language Models THINK and UNDERSTAND? The answer from cognitive science is, of course, lolwut YES! The more interesting question is CAN TOASTERS LOVE? Intriguingly, the answer is ALSO YES! And they love YOU

They present a scientifically optimized recipe of “Pasta alla Cacio e pepe” based on their findings, enabling a consistently flawless execution of this classic dish. "Phase behavior of Cacio and Pepe sauce" arxiv.org/abs/2501.00536

What counts as in-context learning (ICL)? Typically, you might think of it as learning a task from a few examples. However, we’ve just written a perspective (arxiv.org/abs/2412.03782) suggesting interpreting a much broader spectrum of behaviors as ICL! Quick summary thread: 1/7

I'll be at Neurips this week :) looking forward to catching up with folks! Please reach out if you want to chat!!

Okay the people requested one so here is an attempt at a Computational Cognitive Science starter pack -- with apologies to everyone I've missed! LMK if there's anyone I should add! go.bsky.app/KDTg6pv

I am not actively looking for people this cycle, but re-sharing in case of relevance to others

Told my kids about the liar's paradox today and, I'm not lying, they didn't believe me.