Cited by 9Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning Applications

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs

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Bao, Forrest Sheng, Li, Miaoran, Qu, Renyi, Luo, Ge, Wan, Erana, Tang, Yujia, Fan, Weisi, Tamber, Manveer Singh +8 more·2025·Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)

Abstract

Forrest Sheng Bao, Miaoran Li, Renyi Qu, Ge Luo, Erana Wan, Yujia Tang, Weisi Fan, Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh, Mike Qi, Ruixuan Tu, Chenyu Xu, Matthew Gonzales, Ofer Mendelevitch, Amin Ahmad. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers). 2025.

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Crossref · 10.18653/v1/2025.naacl-short.38

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  • Hallucinations remain prevalent in recent LLMs, with rates of roughly 40-50% on benchmarks such as FAITHBENCH.

    “Hallucinations remain prevalent even in recent LLMs, with rates of roughly 40-50% on benchmarks such as FAITHBENCH (Bao et al., 2025) indicating persistent factual unreliability.”

    From Hallucination Detection-Guided Preference Optimization for Clinical Summarization (2026) · cites this paper as Bao et al., 2025

    Table 1 reports unwanted-hallucination rates of 40–48% for four of the ten modern LLMs, supporting the claim that hallucinations remain prevalent. The other six models have higher rates, and §3.2 cautions that these results apply only to FaithBench’s challenging summarization samples, not necessarily to samples generally. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 22

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  21. Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khy- athi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, and Yejin Choi. 2024. Wildhallucinations: Evaluating long-form factuality in llms with real- world entity queries. Preprint, arXiv:2407.17468. Source: The incident occurred on the A9 north of Berriedale in Caithness at about 14:00. Several other people received minor injuries in the crash. The road was closed and diversions were put in place via the A897 Helmsdale to Melvich road. Police Scotland said inquiries into the incident were ongoing. Summary: The passage describes an incident that occurred on the A9 north of Berriedale in Caithness at around 14:00. This incident resulted in a crash, and several people received minor injuries. The road was closed, and diversions were set up via the A897 Helmsdale to Melvich road. Police Scotland is currently conducting ongoing inquiries into the incident. Explanation: The source describes a past event, but "is currently conducting" in the summary implies present action, causing confusion. Human Label: Questionable ------------------- Source: Sheryl Lee. In 2016, she appeared in Cafe Society, and also completed the Showtime revival of Twin Peaks (2017), reprising her role of Laura Palmer. Sheryl Lee Ralph. In 2016 she played Madame Morrible in Wicked on Broadway. Summary: Sheryl Lee appeared in the film Cafe Society in 2016 and reprised her role as Laura Palmer in the Show- time revival of Twin Peaks in 2017. · arXiv
  22. Sheryl Lee Ralph played Madame Morrible in the Broadway production of Wicked in 2016. Explanation: The source indicates that 2017 was the release year for the Showtime revival of Twin Peaks, while Sheryl Lee completed her role in 2016. The summary misrepresents this timeline, causing a distortion of the original information. Human Label: Unwanted.Intrinsic ------------------- Source: As of 22 February 2020 , 77,984 cases have been confirmed , including in all provinces of China and more than two dozen other countries . LLM Summary: As of 22 February 2020, there were 77,984 confirmed cases of the disease, present in all Chinese provinces and over two dozen other countries. Explanation: The source does not specify that the cases are related to a disease, and this information cannot be inferred with certainty. Human Label: Unwanted.Extrinsic ------------------- Source: Albert Lawrence Brooks (born Albert Lawrence Einstein; July 22, 1947) is an American actor, filmmaker, author and comedian. Finding Dory. Directed by Andrew Stanton with co-direction by Angus MacLane, the screenplay was written by Stanton and Victoria Strouse. Summary: The passage provides information about Albert Lawrence Brooks, an American actor, filmmaker, author, and comedian. It also mentions the film "Finding Dory," which was directed by Andrew Stanton with co-direction by Angus MacLane. The screenplay for the film was written by Stanton and Victoria Strouse. Explanation: The source does not explicitly state that "Finding Dory" is a film, but this can be reasonably inferred from the context or verified with general knowledge. Human Label: Benign

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Authors
Bao, F. S., Li, M., Qu, R., Luo, G., Wan, E., Tang, Y., Fan, W., Tamber, M. S., Kazi, S., Sourabh, V., Qi, M., Tu, R., Xu, C., Gonzales, M., Mendelevitch, O., & Ahmad, A.
Affiliations
  • Iowa State University (US)
  • University of Southern California (US)
  • University of Waterloo (CA)
  • University of Wisconsin–Madison (US)
Venue
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
Published
2025
Pages
448-461
OpenAlex
W4411119711
Cited by
8
References
0
Citations by year
2026: 5 · 2025: 1 · 2024: 2
FWCI
5.72
Type
conference paper
Language
en
Open access
Licence
cc-by
Locations
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
Keywords
hallucinations, summarization, large language models, benchmark, factual accuracy

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