ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees

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Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Hengtao Shen and Xiaofeng Zhu

EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024, pp 6886-6898

2024

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https://doi.org/10.18653/v1/2024.findings-emnlp.404View

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Title: ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
Creators: Zhiyuan Wang - University of Electronic Science and Technology of China
Jinhao Duan - Drexel University
Lu Cheng - Department of Computer Science, University of Illinois Chicago, United States
Yue Zhang - Drexel University
Qingni Wang - University of Electronic Science and Technology of China
Xiaoshuang Shi - University of Electronic Science and Technology of China
Kaidi Xu - Drexel University
Hengtao Shen - University of Electronic Science and Technology of China
Xiaofeng Zhu - University of Electronic Science and Technology of China
Publication Details: EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024, pp 6886-6898
Publisher: Association for Computational Linguistics
Grant note: 2022YFA1004100 / National Key Research and Development Program of China (501100012166) 2022YFA1004100 / National Key Research and Development Program of China (http://data.elsevier.com/vocabulary/SciValFunders/501100012166) National Key Research and Development Program of China (http://data.elsevier.com/vocabulary/SciValFunders/501100012166)
Resource Type: Conference proceeding
Language: English
Academic Unit: Computer Science
Scopus ID: 2-s2.0-85217618849
Other Identifier: 991022054405404721