Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models

15 June 2023

Papers citing "Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models"

7 / 7 papers shown

Title
Large Language Models: A Survey Shervin Minaee Tomáš Mikolov Narjes Nikzad M. Asgari-Chenaghlu R. Socher Xavier Amatriain Jianfeng Gao ALM LM&MA ELM 117 353 0 09 Feb 2024
Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability Simon Lermen Ondvrej Kvapil ELM AAML 13 3 0 26 Nov 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 221 2,232 0 22 Mar 2023
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models Sami Sarsa Paul Denny Arto Hellas Juho Leinonen ELM 87 341 0 03 Jun 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
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