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Coffee and Check-In
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Opening Remarks
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Rules vs. Neurons and what may be next
Steven Piantadosi (UC Berkeley)
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Break
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Neuroscience and AI: a symbiosis
Surya Ganguli (Stanford University)
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Lunch (on your own)
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Learning a language like infants do: Results and challenges for developmentally inspired AI
Emmanuel Dupoux (Laboratoire de Science Cognitive et Psycholinguistique)
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Break
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How DeepSeek Changes the LLM Story
Sasha Rush (Cornell University)
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Reception
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Coffee and Check-In
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How Linguistics Learned to Stop Worrying and Love the Language Models
Kyle Mahowald (UT Austin)
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Break
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Why it Matters That Babies and Language Models are the Only Known Language Learners
Alex Warstadt (UC San Diego)
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Lunch (on your own)
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Neural algorithms of human language
Laura Gwilliams (Stanford University)
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Do LLMs Use Language?
Alane Suhr (UC Berkeley)
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Break
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Panel Discussion
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Coffee and Check-In
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More accurate behavioral predictions with hybrid Bayesian-Transformer models
Brenden Lake (New York University)
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Break
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Cognitive modeling of development using AI tools
Mike Frank (Stanford University)
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Lunch (on your own)
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Knowledge is structured and domain-specific: lessons from developmental cognitive science
Fei Xu (UC Berkeley)
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Virtual Lab of AI Scientists
James Zou (Stanford University)
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Break
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You Know It Or You Don’t: Compositionality and Phase Transitions in LMs
Naomi Saphra (Kempner Institute at Harvard University)
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Coffee and Check-In
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Interpreting LLMs to Interpret the Brain
Shailee Jain (UC San Francisco)
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Break
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Language and thought in brains: Implications for AI
Evelina Fedorenko (Massachusetts Institute of Technology)
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Lunch (on your own)
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Dissociating language and thought in large language models
Anya Ivanova (Georgia Institute of Technology)
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Break
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AI safety via Inference-time compute
Boaz Barak (Harvard University)
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Coffee and Check-In
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Building scalable systems for automatically understanding LLMs
Jacob Steinhardt (UC Berkeley)
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Break
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How Do Transformers Learn Variable Binding?
Raphaël Millière (Macquarie University)
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Lunch (on your own)
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The Cognitive Boundaries of Language Models: Hallucinations and Understanding
Santosh Vempala (Georgia Institute of Technology)
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Break
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Automating scientific discovery and hypothesis generation with language model agents
Andrew White (FutureHouse)