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pro vyhledávání: '"Xin, Amy"'
While Large Language Models show remarkable performance in natural language understanding, their resource-intensive nature makes them less accessible. In contrast, smaller language models such as MiniCPM offer more sustainable scalability, but often
Externí odkaz:
http://arxiv.org/abs/2408.00690
Autor:
Xin, Amy, Qi, Yunjia, Yao, Zijun, Zhu, Fangwei, Zeng, Kaisheng, Bin, Xu, Hou, Lei, Li, Juanzi
Entity Linking (EL) models are well-trained at mapping mentions to their corresponding entities according to a given context. However, EL models struggle to disambiguate long-tail entities due to their limited training data. Meanwhile, large language
Externí odkaz:
http://arxiv.org/abs/2407.04020
Autor:
Yao, Zijun, Chen, Yuanyong, Lv, Xin, Cao, Shulin, Xin, Amy, Yu, Jifan, Jin, Hailong, Xu, Jianjun, Zhang, Peng, Hou, Lei, Li, Juanzi
We present Visual Knowledge oriented Programming platform (VisKoP), a knowledge base question answering (KBQA) system that integrates human into the loop to edit and debug the knowledge base (KB) queries. VisKoP not only provides a neural program ind
Externí odkaz:
http://arxiv.org/abs/2307.03130
Autor:
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
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 a
Externí odkaz:
http://arxiv.org/abs/2306.09296
Publikováno v:
In International Journal of Production Economics March 2021 233
