Emmanuel Candès: Statistical methods for assessing the factual accuracy of large language models
1:03:52
Jing Lei: Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
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Andrew Gelman: Learning from mistakes
49:58
Emmanuel Candès: Wavelets, sparsity and its consequences
6:34
When Computers Write Proofs, What's the Point of Mathematicians?
56:37
Song Mei: Revisiting neural network approximation theory in the age of generative AI
59:20
Weijie Su: How Statistics Can Advance Large Language Models: Fairness Alignment and Watermarking
58:18
Chris Manning - Meaning and Intelligence in Language Models (COLM 2024)
38:22