All talks listed in Pacific Time. Schedule subject to change.

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Coffee and Check-In
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Efficient Retrieval of Influential LLM Training Examples

Roger Grosse (University of Toronto)
Video
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The Agentic Data Science Multiverse

Steven Wu (Carnegie Mellon University)
Video
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Lunch (on your own)
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Power and Limitations of Aggregation in Compound AI Systems

Meena Jagadeesan (Stanford/UPenn)
Video
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Incentivizing Truthful Data Sharing in Collaborative Machine Learning and Data Marketplaces

Kirthevasan Kandasamy (University of Wisconsin-Madison)
Video
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Break
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Spotlight Talks

Rashida Hakim (Columbia University),
Chhavi Yadav (CMU, UC Berkeley)
Video
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Reception
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Coffee and Check-In
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Proper Scoring Rules for Text and Super-alignment

Jason Hartline (Northwestern University)
Video
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Preference Alignment from Choices and Response Times

Alireza Fallah (Rice University)
Video
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Lunch (on your own)
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Increasing Participant Agency by Understanding the Impact of Training Data

Andrew Ilyas (Carnegie Mellon University)
Video
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One AI, two AI, red AI, blue AI: Impacts of Aggregation on Model Diversity and Consumer Utility

Kate Donahue (MIT/UIUC)
Video
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Break
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Peer-Predictive Self-Training for Language Model Reasoning

Yiling Chen (Harvard University)
Video
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Scaling Data Beyond English: Multilingual Scaling and Data Mixing Laws

Shayne Longpre (MIT)
Video
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Coffee and Check-In
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AI Ecosystems: Structure, Strategy, and Regulation

Ben Laufer (Cornell Tech)
Video
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Can Users Fix Algorithms? A Game-Theoretic Analysis of Collective Content Amplification in Recommender Systems

Chara Podimata (MIT)
Video
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Lunch (on your own)
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Learning Preferences with Latent State

Ramesh Johari (Stanford University)
Video
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Spotlight Talks

Chido Onyeze (Cornell University),
Kumar Kshitij Patel (Yale University)
Video
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Break
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Poster Session (2nd Floor Interaction Area)
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Coffee and Check-In
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A Theoretical Framework for Statistical Evaluability of Generative Models

Han Shao (UMD)
Video
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Mechanisms for Honest Data Sharing under Competition

Florian Dorner (Max-Planck Institute for Intelligent Systems)
Video
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Lunch (on your own)
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Can Humans’ Verification of Synthetic Data Save Models from Collapse?

Haifeng Xu (University of Chicago)
Video
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Complementarity and Delegation in Multi-Agent Models

Jon Kleinberg (Cornell University)
Video
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Break
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Panel on Multi-Agent Systems

Tania Bedrax-Weiss (Google),
Alex Dimakis (Berkeley),
Dylan Hadfield-Menell (MIT),
Diyi Yang (Stanford)
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Coffee and Check-In
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Platforms for Efficient and Incentive-Aware Collaboration

Mingda Qiao (UMass Amherst)
Video
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Emergent Alignment via Competition

Natalie Collina (University of Pennsylvania)
Video
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Lunch (on your own)
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Rethinking AI Alignment and Evaluation under Heterogeneous Preferences

Kunhe Yang (UC Berkeley)
Video
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LLM Alignment and Evaluation through the lens of Econometrics and Causal Inference

Vasilis Syrgkanis (Microsoft Research)
Video
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Break
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Open Problems (2nd Floor Interaction Area)