Cognitive Science Society reposted
#cogsci2026 peeps - hit me up if you wanna chat about language/thought/LLMs reasoning as pattern matching - all that good stuff arxiv.org/abs/2606.13607 arxiv.org/abs/2602.23928
Who's Who of AI
Cognitive Science Society
Why they matter
Directory member with public evidence across AI research.
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- 24d ago
Promoting Cognitive Science as a discipline and fostering scientific interchange among researchers in various areas.
🌐 https://cognitivesciencesociety.org
What they're sharing
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning arxiv.org
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The Astonishing Ability of Large Language Models to Parse Jabberwockified Language arxiv.org
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Deconstructing sentence disambiguation by joint latent modeling of reading paradigms: LLM surprisal is not enough arxiv.org
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A Rational Analysis of the Effects of Sycophantic AI rafaelmbatista.com
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Articles & links
Cognitive Science Society reposted
#cogsci2026 peeps - hit me up if you wanna chat about language/thought/LLMs reasoning as pattern matching - all that good stuff arxiv.org/abs/2606.13607 arxiv.org/abs/2602.23928
Cognitive Science Society reposted
Who's attending #CogSci2026 in Rio next week? 🇧🇷 I will be presenting joint work with @shravanvasishth.bsky.social and @tallinzen.bsky.social on LLM surprisal in garden-path sentences on Friday! arxiv.org/abs/2602.04489
Cognitive Science Society reposted
Good morning #CogSci2026! I’ve got a poster to share with you this afternoon Come on by so we can meet and I can tell you about what I’ve working been with on (together w/ Tom Griffiths @cocoscilab.bsky.social ) rafaelmbatista.com/sycophantic-...
Their own posts
Recent commentary
First up in the Glushko Dissertation Prize Symposium: Andrea de Varda @andreadevarda.bsky.social examines what multilingual neural language models can reveal about language and cognition. #CogSci2026
Next in the Glushko Dissertation Prize Symposium, Alireza Karami @alirezakr.bsky.social explores ‘The Representation of Numerosity in the Human Brain and Machines’, comparing how humans and AI systems perceive and represent quantity. #CogSci2026
Kyle Mahowald @kmahowald.bsky.social concludes the symposium with ‘Linguistic Efficiency and Linguistic Interpretability’, connecting efficient linguistic representations with the internal mechanisms learned by large language models. #CogSci2026
Aida Ramezani continues the Glushko Dissertation Prize Symposium with research at the intersection of language, AI, and moral cognition, exploring how models can infer changes in moral reasoning from text. #CogSci2026
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