Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiong, Zhuozhi"'
Autor:
Wang, Jianchen, Gu, Zhouhong, Zhu, Xiaoxuan, Zhang, Lin, Ye, Haoning, Xiong, Zhuozhi, Feng, Hongwei, Xiao, Yanghua
Large Language Models have revolutionized numerous tasks with their remarkable efficacy. However, editing these models, crucial for rectifying outdated or erroneous information, often leads to a complex issue known as the ripple effect in the hidden
Externí odkaz:
http://arxiv.org/abs/2403.07825
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Ye, Haoning, Zhang, Lin, Wang, Jianchen, Zhu, Yixin, Jiang, Sihang, Xiong, Zhuozhi, Li, Zihan, Wu, Weijie, He, Qianyu, Xu, Rui, Huang, Wenhao, Liu, Jingping, Wang, Zili, Wang, Shusen, Zheng, Weiguo, Feng, Hongwei, Xiao, Yanghua
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 com
Externí odkaz:
http://arxiv.org/abs/2306.05783
Autor:
Gu, Zhouhong, Zhu, Xiaoxuan, Ye, Haoning, Zhang, Lin, Xiong, Zhuozhi, Li, Zihan, He, Qianyu, Jiang, Sihang, Feng, Hongwei, Xiao, Yanghua
Domain knowledge refers to the in-depth understanding, expertise, and familiarity with a specific subject, industry, field, or area of special interest. The existing benchmarks are all lack of an overall design for domain knowledge evaluation. Holdin
Externí odkaz:
http://arxiv.org/abs/2304.11679
Autor:
Dong, Changyin, Lyu, Keyun, Li, Ni, Xiong, Zhuozhi, Ni, Daiheng, Li, Ye, Chen, Yujia, Wang, Hao
Publikováno v:
In Transportation Research Part C January 2025 170
Autor:
Jiang, Sihang, Feng, Jianchuan, Wang, Chao, Liu, Jingping, Xiong, Zhuozhi, Sha, Chaofeng, Zheng, Weiguo, Liang, Jiaqing, Xiao, Yanghua
Publikováno v:
In Knowledge-Based Systems 25 October 2023 278
Autor:
Gu, Zhouhong, Li, Zihan, Zhang, Lin, Xiong, Zhuozhi, Jiang, Sihang, Zhu, Xiaoxuan, Wang, Shusen, Wang, Zili, Wang, Jianchen, Ye, Haoning, Huang, Wenhao, Zhang, Yikai, Feng, Hongwei, Xiao, Yanghua
This paper introduces the Life Scapes Reasoning Benchmark (LSR-Benchmark), a novel dataset targeting real-life scenario reasoning, aiming to close the gap in artificial neural networks' ability to reason in everyday contexts. In contrast to domain kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eddca6bd8026fe6c27ed9b4fededdcce