Reposted by Kanishk GandhiBen Prystawski @benpry.bsky.social · 25/06/2025How 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! 0225 0
Kanishk Gandhi @gandhikanishk.bsky.social · 25/06/2025Can we record and study human chains of thought? Check out our new work led by @danielwurgaft.bsky.social and @benpry.bsky.social !! 020 0
Reposted by Kanishk GandhiChristopher @gatodohq.bsky.social · 11/03/2025Some absolutely marvellous work from @gandhikanishk.bsky.social et al! Wow! 011 0
Kanishk Gandhi @gandhikanishk.bsky.social · 04/03/20251/13 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! 🧵 25817 0
Reposted by Kanishk GandhiHadas Weiss @hadas.bsky.social · 19/02/2025emotionally, i’m constantly walking into a glass door 4407 0
Reposted by Kanishk GandhiMatt Spike @matspike.bsky.social · 19/01/2025Can 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 410120 0
Reposted by Kanishk GandhiSung Kim @sungkim.bsky.social · 06/01/2025They 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 0241 0
Reposted by Kanishk GandhiAndrew Lampinen @lampinen.bsky.social · 10/12/2024What 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: 1/7arxiv.orgThe broader spectrum of in-context learningThe ability of language models to learn a task from a few examples in context has generated substantial interest. Here, we provide a perspective that situates this type of supervised few-shot learning... 212232 0
Kanishk Gandhi @gandhikanishk.bsky.social · 09/12/2024I'll be at Neurips this week :) looking forward to catching up with folks! Please reach out if you want to chat!! 040 0
Reposted by Kanishk Gandhixuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 11/11/2024Okay 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 7021991 0
Reposted by Kanishk GandhiAnna (Anya) Ivanova @neuranna.bsky.social · 12/11/2024I am not actively looking for people this cycle, but re-sharing in case of relevance to others 031 0
Reposted by Kanishk GandhiSam Gershman @gershbrain.bsky.social · 17/12/2023Told my kids about the liar's paradox today and, I'm not lying, they didn't believe me. 031 0