An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries-Reference-Cited by-同舟云学术

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Intelligent User Interfaces
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Author:

Ning Zheng¹^ORCID,Zhang Zheng¹^ORCID,Sun Tianyi²^ORCID,Tian Yuan³^ORCID,Zhang Tianyi³^ORCID,Li Toby Jia-Jun¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Notre Dame, United States

2. Committee on Computational and Applied Mathematics, University of Chicago, United States

3. Computer Science, Purdue University, United States

Funder

Google Cloud Research Credit Award

AnalytiXIN Faculty Fellowship

NSF grant

NVIDIA Academic Hardware Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581641.3584067

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