Computer Science > Computation and Language
arXiv:2306.05783 (cs)
[Submitted on 9 Jun 2023 (v1), last revised 11 Mar 2024 (this version, v3)]
Title:Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
Authors:Zhouhong Gu,Xiaoxuan Zhu,Haoning Ye,Lin Zhang,Jianchen Wang,Yixin Zhu,Sihang Jiang,Zhuozhi Xiong,Zihan Li,Weijie Wu,Qianyu He,Rui Xu,Wenhao Huang,Jingping Liu,Zili Wang,Shusen Wang,Weiguo Zheng,Hongwei Feng,Yanghua Xiao
View a PDF of the paper titled Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation, by Zhouhong Gu and 18 other authors
View PDFHTML (experimental)Abstract:New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive evaluation suite designed to assess holistic domain knowledge. Xiezhi comprises multiple-choice questions across 516 diverse disciplines ranging from 13 different subjects with 249,587 questions and accompanied by Xiezhi-Specialty and Xiezhi-Interdiscipline, both with 15k questions. We conduct evaluation of the 47 cutting-edge LLMs on Xiezhi. Results indicate that LLMs exceed average performance of humans in science, engineering, agronomy, medicine, and art, but fall short in economics, jurisprudence, pedagogy, literature, history, and management. We anticipate Xiezhi will help analyze important strengths and shortcomings of LLMs, and the benchmark is released in~\url{this https URL}.
| Comments: | Accepted by AAAI 2024 |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2306.05783 [cs.CL] |
| (orarXiv:2306.05783v3 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2306.05783 arXiv-issued DOI via DataCite |
Submission history
From: Zhouhong Gu [view email][v1] Fri, 9 Jun 2023 09:52:05 UTC (4,788 KB)
[v2] Thu, 15 Jun 2023 06:51:40 UTC (4,792 KB)
[v3] Mon, 11 Mar 2024 09:49:04 UTC (5,464 KB)
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View a PDF of the paper titled Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation, by Zhouhong Gu and 18 other authors
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