KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The unprecedented performance of large language models (LLMs) necessitates improvements in evaluations. Rather than merely exploring the breadth of LLM abilities, we believe meticulous and thoughtful designs are essential to thorough, unbiased, and applicable evaluations. Given the importance of wor...

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Hauptverfasser:	Yu, Jifan, Wang, Xiaozhi, Tu, Shangqing, Cao, Shulin, Zhang-Li, Daniel, Lv, Xin, Peng, Hao, Yao, Zijun, Zhang, Xiaohan, Li, Hanming, Li, Chunyang, Zhang, Zheyuan, Bai, Yushi, Liu, Yantao, Xin, Amy, Lin, Nianyi, Yun, Kaifeng, Gong, Linlu, Chen, Jianhui, Wu, Zhili, Qi, Yunjia, Li, Weikai, Guan, Yong, Zeng, Kaisheng, Qi, Ji, Jin, Hailong, Liu, Jinxin, Gu, Yu, Yao, Yuan, Ding, Ning, Hou, Lei, Liu, Zhiyuan, Xu, Bin, Tang, Jie, Li, Juanzi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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