Sign in

Kanishk Gandhi

@gandhikanishk.bsky.social
848 followers 335 following 18 posts

PhD Student Stanford w/ Noah Goodman, studying reasoning, discovery, and interaction. Trying to build machines that understand people. StanfordNLP, Stanford AI Lab

PostsRepliesMedia
Reposted by Kanishk Gandhi
Ben Prystawski @benpry.bsky.social · 25/06/2025
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!
0225 0
Kanishk Gandhi @gandhikanishk.bsky.social · 25/06/2025
Can 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 Gandhi
Christopher @gatodohq.bsky.social · 11/03/2025
Some absolutely marvellous work from @gandhikanishk.bsky.social et al! Wow!
011 0
Kanishk Gandhi @gandhikanishk.bsky.social · 04/03/2025
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! 🧵
25817 0
Reposted by Kanishk Gandhi
Hadas Weiss @hadas.bsky.social · 19/02/2025
emotionally, i’m constantly walking into a glass door
4407 0
Reposted by Kanishk Gandhi
Matt Spike @matspike.bsky.social · 19/01/2025
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
a romantic toaster presenting a single red rose
410120 0
Reposted by Kanishk Gandhi
Sung Kim @sungkim.bsky.social · 06/01/2025
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
0241 0
Reposted by Kanishk Gandhi
Andrew Lampinen @lampinen.bsky.social · 10/12/2024
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
arxiv.org
The broader spectrum of in-context learning
The 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 · 09/12/2024
I'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 Gandhi
xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 11/11/2024
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
7021991 0
Reposted by Kanishk Gandhi
Anna (Anya) Ivanova @neuranna.bsky.social · 12/11/2024
I am not actively looking for people this cycle, but re-sharing in case of relevance to others
031 0
Reposted by Kanishk Gandhi
Sam Gershman @gershbrain.bsky.social · 17/12/2023
Told my kids about the liar's paradox today and, I'm not lying, they didn't believe me.
031 0