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WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts Supplementary Material
For details on M1-M5, please refer to Appendix B.3.
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- Europe > Finland > Uusimaa > Helsinki (0.04)
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.99)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.71)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.71)
- Information Technology > Artificial Intelligence > Natural Language > Text Processing (0.68)
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
Large Language Models (LLMs) have made significant advancements across numerous domains, but their capabilities in Chinese Classical Literature and Language Arts (CCLLA) remain largely unexplored due to the limited scope and tasks of existing benchmarks. To fill this gap, we propose WenMind, a comprehensive benchmark dedicated for evaluating LLMs in CCLLA.