Talks are 45 minutes long, with 15 minutes for discussion. All talks are posted in Pacific Time. Schedule subject to change.

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Coffee and Check-in
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Welcome and Introduction
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Sparks of Artificial General Intelligence

Yin Tat Lee (Microsoft Research)
Video
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Break
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Possible Impossibilities and Impossible Possibilities

Yejin Choi (University of Washington)
Video
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Lunch (on your own)
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Towards Reliable Use of Large Language Models: Better Detection, Consistency, and Instruction-Tuning

Christopher D. Manning (Stanford University)
Video
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Break
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An Observation on Generalization

Ilya Sutskever (OpenAI)
Video
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Panel Discussion (moderated by Alexei Efros)
Video
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Reception
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Coffee and Check-in
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Understanding the Origins and Taxonomy of Neural Scaling Laws

Yasaman Bahri (Google DeepMind)
Video
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Scaling Data-Constrained Language Models

Sasha Rush (Cornell University & Hugging Face)
Video
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Break
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A Theory for Emergence of Complex Skills in Language Models

Sanjeev Arora (Princeton University)
Video
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Lunch (on your own)
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Interpretability via Symbolic Distillation

Miles Cranmer (Flatiron Institute)
Video
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Break
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Build an Ecosystem, Not a Monolith

Colin Raffel (University of North Carolina & Hugging Face)
Video
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How to Use Self-Play for Language Models to Improve at Solving Programming Puzzles

Adam Tauman Kalai (Microsoft)
Video
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Coffee and Check-in
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Large Language Models Meet Copyright Law

Pamela Samuelson (UC Berkeley)
Video
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Panel Discussion (moderated by Shafi Goldwasser)
Video
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Break
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On Localization in Language Models

Yonatan Belinkov (Technion - Israel Institute of Technology)
Video
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Lunch (on your own)
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Language Models as Statisticians, and as Adapted Organisms

Jacob Steinhardt (UC Berkeley)
Video
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Break
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Are Aligned Language Models “Adversarially Aligned”?

Nicholas Carlini (Google DeepMind)
Video
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Formalizing Explanations of Neural Network Behaviors

Paul Christiano (Alignment Research Center)
Video
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Coffee and Check-in
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Meaning in the age of large language models

Steven Piantadosi (UC Berkeley)
Video
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Integrating Language into Intelligent Architectures

Lio Wong (MIT) & Alex Lew (MIT)
Video
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Break
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Beyond Language: Scaling up Robot Ontogeny

Jitendra Malik (UC Berkeley)
Video
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Lunch (on your own)
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Are LLMs the Beginning or End of NLP?

Dan Klein (UC Berkeley)
Video
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Break
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Human-AI Interaction in the Age of Large Language Models

Diyi Yang (Stanford University)
Video
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Watermarking of Large Language Models

Scott Aaronson (UT Austin & OpenAI)
Video
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Coffee and Check-in
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In-Context Learning: A Case Study of Simple Function Classes

Gregory Valiant (Stanford University)
Video
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Pretraining Task Diversity and the Emergence of Non-Bayesian In-Context Learning for Regression

Surya Ganguli (Stanford University)
Video
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Break
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Are Transformers necessary? A data-centric view on generalization

Ludwig Schmidt (University of Washington)
Video
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Lunch (on your own)
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Short Talks

Gasper Begus,
Bob Carpenter,
Fereshte Khani,
Song Mei,
Weijie Su,
Jia Xu
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Break
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Short Talks

Nayoung Lee,
Shishir Patil,
Eric Wallace