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UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
Research article (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024) · cited 15× · AI/ML
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
Summary
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation is a scholarly article[1].
Key Facts
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/uhgeval-benchmarking-the-hallucination-of-chinese-large-language-models-via-unconstrained-generation
MLA“UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uhgeval-benchmarking-the-hallucination-of-chinese-large-language-models-via-unconstrained-generation.
BibTeX@misc{4ortxyz_uhgeval-benchmarking-the-hallucination-of-chinese-large-language-models-via-unconstrained-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation}}, year = {2026}, url = {https://4ort.xyz/entity/uhgeval-benchmarking-the-hallucination-of-chinese-large-language-models-via-unconstrained-generation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation — https://4ort.xyz/entity/uhgeval-benchmarking-the-hallucination-of-chinese-large-language-models-via-unconstrained-generation (retrieved 2026-05-24)