Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tian, Runchu"'
Autor:
Tian, Runchu, Li, Yanghao, Fu, Yuepeng, Deng, Siyang, Luo, Qinyu, Qian, Cheng, Wang, Shuo, Cong, Xin, Zhang, Zhong, Wu, Yesai, Lin, Yankai, Wang, Huadong, Liu, Xiaojiang
Positional bias in large language models (LLMs) hinders their ability to effectively process long inputs. A prominent example is the "lost in the middle" phenomenon, where LLMs struggle to utilize relevant information situated in the middle of the in
Externí odkaz:
http://arxiv.org/abs/2410.14641
Autor:
Tian, Runchu, Ye, Yining, Qin, Yujia, Cong, Xin, Lin, Yankai, Pan, Yinxu, Wu, Yesai, Hui, Haotian, Liu, Weichuan, Liu, Zhiyuan, Sun, Maosong
Large Language Models (LLMs) have demonstrated exceptional coding capability. However, as another critical component of programming proficiency, the debugging capability of LLMs remains relatively unexplored. Previous evaluations of LLMs' debugging a
Externí odkaz:
http://arxiv.org/abs/2401.04621
Autor:
Qin, Yujia, Liang, Shihao, Ye, Yining, Zhu, Kunlun, Yan, Lan, Lu, Yaxi, Lin, Yankai, Cong, Xin, Tang, Xiangru, Qian, Bill, Zhao, Sihan, Hong, Lauren, Tian, Runchu, Xie, Ruobing, Zhou, Jie, Gerstein, Mark, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
Despite the advancements of open-source large language models (LLMs), e.g., LLaMA, they remain significantly limited in tool-use capabilities, i.e., using external tools (APIs) to fulfill human instructions. The reason is that current instruction tun
Externí odkaz:
http://arxiv.org/abs/2307.16789
Autor:
Liang, Shihao, Tian, Runchu, Zhu, Kunlun, Qin, Yujia, Wang, Huadong, Cong, Xin, Liu, Zhiyuan, Liu, Xiaojiang, Sun, Maosong
Instruction tuning has emerged as a promising approach to enhancing large language models in following human instructions. It is shown that increasing the diversity and number of instructions in the training data can consistently enhance generalizati
Externí odkaz:
http://arxiv.org/abs/2307.15504
Autor:
Qin, Yujia, Hu, Shengding, Lin, Yankai, Chen, Weize, Ding, Ning, Cui, Ganqu, Zeng, Zheni, Huang, Yufei, Xiao, Chaojun, Han, Chi, Fung, Yi Ren, Su, Yusheng, Wang, Huadong, Qian, Cheng, Tian, Runchu, Zhu, Kunlun, Liang, Shihao, Shen, Xingyu, Xu, Bokai, Zhang, Zhen, Ye, Yining, Li, Bowen, Tang, Ziwei, Yi, Jing, Zhu, Yuzhang, Dai, Zhenning, Yan, Lan, Cong, Xin, Lu, Yaxi, Zhao, Weilin, Huang, Yuxiang, Yan, Junxi, Han, Xu, Sun, Xian, Li, Dahai, Phang, Jason, Yang, Cheng, Wu, Tongshuang, Ji, Heng, Liu, Zhiyuan, Sun, Maosong
Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models, AI systems have the potential to be equally adept in tool use as huma
Externí odkaz:
http://arxiv.org/abs/2304.08354