Can LLMs predict the convergence of Stochastic Gradient Descent?

3 August 2024

Papers citing "Can LLMs predict the convergence of Stochastic Gradient Descent?"

4 / 4 papers shown

Title
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 62 1 0 17 Feb 2025
Density estimation with LLMs: a geometric investigation of in-context learning trajectories Toni J. B. Liu Nicolas Boullé Raphael Sarfati Christopher Earls 20 0 0 07 Oct 2024
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020