LLMs Understand Glass-Box Models, Discover Surprises, and Suggest
Repairs

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

2 August 2023

Sebastian Bordt

Y. Aphinyanaphongs

Manolis Kellis

Papers citing "LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs"

7 / 7 papers shown

Title
Data Analysis in the Era of Generative AI J. Inala Chenglong Wang Steven Drucker Gonzalo Ramos Victor C. Dibia N. Riche Dave Brown Dan Marshall Jianfeng Gao 20 6 0 27 Sep 2024
Large Language Models as Co-Pilots for Causal Inference in Medical Studies Ahmed Alaa Rachael V. Phillips Emre Kiciman Laura B. Balzer Mark van der Laan Maya L Petersen CML ELM LM&MA 28 0 0 26 Jul 2024
Data Science with LLMs and Interpretable Models Sebastian Bordt Benjamin J. Lengerich Harsha Nori Rich Caruana SyDa AI4CE 18 7 0 22 Feb 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 75 60 0 30 Jan 2024
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 53 34 0 08 Sep 2022
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 176 212 0 20 May 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