As some of you may know, LightOn has built a few Large Language Models, and we are now making them usable to Enterprise customers. In the meantime and on the theoretical side of things, the Simons Institute for the Theory of Computing has organized a workshop on the topic of Large Language Models and Transformers. The program is listed below, every link links to the video of the talk (that includes streaming this week).
Monday, Aug. 14, 2023
- 9:15 – 10:15 a.m. Sparks of Artificial General Intelligence, Yin Tat Lee (Microsoft Research)
- 11 a.m. – 12 p.m. Possible Impossibilities and Impossible Possibilities, Yejin Choi (University of Washington)
- 1:30 – 2:30 p.m. Towards Reliable Use of Large Language Models: Better Detection, Consistency, and Instruction-Tuning, Christopher D. Manning (Stanford University)
- 3 – 4 p.m. An observation on Generalization, Ilya Sutskever (OpenAI)
- 4 – 4:45 p.m. Panel Discussion (moderated by Alexei Efros)
Tuesday, Aug. 15, 2023
- 9 – 10 a.m. Understanding the Origins and Taxonomy of Neural Scaling Laws, Yasaman Bahri (Google DeepMind)
- 10 – 11 a.m. Scaling Data-Constrained Language Models, Sasha Rush (Cornell University & Hugging Face)
- 11:30 a.m. – 12:30 p.m. A Theory for Emergence of Complex Skills in Language Models, Sanjeev Arora (Princeton University)
- 2 – 3 p.m. Interpretability via Symbolic Distillation, Miles Cranmer (Flatiron Institute)
- 3:30 – 4:30 p.m. Build an Ecosystem, Not a Monolith, Colin Raffel (University of North Carolina & Hugging Face)
- 4:30 – 5:30 p.m. How to Use Self-Play for Language Models to Improve at Solving Programming Puzzles, Adam Tauman Kalai (Microsoft)
Wednesday, Aug. 16, 2023
- 9 – 10 a.m. Large Language Models Meet Copyright Law, Pamela Samuelson (UC Berkeley)
- 10 – 10:45 a.m. Panel Discussion (moderated by Shafi Goldwasser)
- 11:15 a.m. – 12:15 p.m. On Localization in Language Models, Yonatan Belinkov (Technion - Israel Institute of Technology)
- 2 – 3 p.m. Language Models as Statisticians, and as Adapted Organisms, Jacob Steinhardt (UC Berkeley)
- 3:30 – 4:30 p.m. Are Aligned Language Models “Adversarially Aligned”?, Nicholas Carlini (Google DeepMind)
- 4:30 – 5:30 p.m. Formalizing Explanations of Neural Network Behaviors, Paul Christiano (Alignment Research Center)
Thursday, Aug. 17, 2023
- 9 – 10 a.m. Meaning in the age of large language models, Steven Piantadosi (UC Berkeley)
- 10 – 11 a.m. Word Models to World Models, Josh Tenenbaum (MIT)
- 11:30 a.m. – 12:30 p.m. Beyond Language: Scaling up Robot Ontogeny, Jitendra Malik (UC Berkeley)
- 2 – 3 p.m. Are LLMs the Beginning or End of NLP?, Dan Klein (UC Berkeley)
- 3:30 – 4:30 p.m. Human-AI Interaction in the Age of Large Language Models, Diyi Yang (Stanford University)
- 4:30 – 5:30 p.m. Watermarking of Large Language Models, Scott Aaronson (UT Austin & OpenAI)
Friday, Aug. 18, 2023
- 9 – 10 a.m. In-Context Learning: A Case Study of Simple Function Classes, Gregory Valiant (Stanford University)
- 10 – 11 a.m. Pretraining Task Diversity and the Emergence of Non-Bayesian In-Context Learning for Regression, Surya Ganguli (Stanford University)
- 11:30 a.m. – 12:30 p.m. A data-centric view on reliable generalization: From ImageNet to LAION-5B, Ludwig Schmidt (University of Washington)
- 2 – 3:30 p.m. Short Talks
- 4 – 5 p.m. Short Talks
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