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0:52:08
Sayash Kapoor - Five surprises in evaluating AI agents
0:55:46
Jacob Baldwin 'Pass Coverage Metrics in the NFL'
0:53:04
Jay Alammar - 'Hands-On Large Language Models: Language Understanding and Generation'
0:40:42
Rona Fang-Yu Hu 'Integrating ‘Something Else’ Sexual Identity Responses in Health Disparity Studies'
0:53:10
Sean Taylor 'Causal Discovery for Product Analytics'
0:56:22
Annie Collins, GivingTuesday, 'Leveraging Data for Generosity'
0:39:16
Sana Shams and Waris Bhatia “Navigating Canada’s Largest Corpus of Government Documents”
0:56:48
Naman Jain - 'LiveCodeBench: Holistic and contamination free evaluation of LLMs for code'
1:03:52
Terry Yue Zhuo 'BigCodeBench: Benchmarking Code Generation'
0:52:16
Kobi Hackenburg 'Evaluating the persuasive influence of political microtargeting with LLMs'
1:02:50
Jae Yeon Kim - 'Field experimentation in the U.S. safety net'
0:53:58
Lars Vilhuber - Privacy protection in RCTs: The challenge of privacy protection in the field
0:56:26
Ethan Busby 'AI-Enabled Persuasion Research: Experimenting with Effective Political Messaging'
0:55:23
Belinda Li - 'Eliciting Human Preferences with Language Models'
0:54:55
Amanda Coston - Addressing validity in decision-making algorithms
1:07:28
Kosuke Imai 'Does AI help humans make better decisions?'
0:50:26
Abel Brodeur - Mass Reproducibility and Replicability: A New Hope
0:36:23
Lenny Bronner - Election Modeling at The Washington Post
0:43:36
Cameron Buckner - 'The philosophy of Large Language Models'
0:31:21
Laura Plein - Can LLMs demystify Bug Reports and translate them into Test Cases?
0:40:23
Tom Davidson - 'Harnessing Generative Artificial Intelligence for Sociological Research'
0:34:04
Jonathan Mellon 'Using LLMs to code open-text social survey responses at scale'
0:42:02
Matheus Facure 'Why Banking has the Coolest Stats/Data Science Problems'
0:38:21
Sky CH-Wang - Do Androids Know They’re Only Dreaming of Electric Sheep?
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