MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Conference proceeding

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Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu and Ying Ding

EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, pp 2858-2873

2025

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Title: MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
Creators: Shrey Pandit - University of Texas, Austin, United States
Jiawei Xu - University of Texas, Austin, United States
Junyuan Hong - University of Texas, Austin, United States
Zhangyang Wang - University of Texas, Austin, United States
Tianlong Chen - University of North Carolina at Chapel Hill
Kaidi Xu - Drexel University, United States
Ying Ding - University of Texas, Austin, United States
Publication Details: EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, pp 2858-2873
Publisher: Association for Computational Linguistics
Number of pages: 16
Resource Type: Conference proceeding
Language: English
Academic Unit: Computer Science
Scopus ID: 2-s2.0-105040164447
Other Identifier: 991022195559804721