Leveraging Large Language Models to Enhance Domain Expert Inclusion in
Data Science Workflows

Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows

3 May 2024

Jasmine Y. Shih

Yannis Katsis

Hariharan Subramonyam

Papers citing "Leveraging Large Language Models to Enhance Domain Expert Inclusion in Data Science Workflows"

6 / 6 papers shown

Title
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time Deepthi Raghunandan Aayushi Roy Shenzhi Shi Niklas Elmqvist Leilani Battle SyDa 29 17 0 06 Sep 2022
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 182 219 0 09 Jul 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu J. W. Vaughan R. Caruana KELM 69 27 0 30 Jun 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 435 8,650 0 28 Jan 2022
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 62 55 0 29 Jan 2021
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 171 108 0 09 Feb 2020