Zobrazeno 1 - 10
of 569
pro vyhledávání: '"Hu Guoping"'
Autor:
Huang, Yuqing, Zhang, Rongyang, He, Xuesong, Zhi, Xuyang, Wang, Hao, Li, Xin, Xu, Feiyang, Liu, Deguang, Liang, Huadong, Li, Yi, Cui, Jian, Liu, Zimu, Wang, Shijin, Hu, Guoping, Liu, Guiquan, Liu, Qi, Lian, Defu, Chen, Enhong
There is a growing interest in the role that LLMs play in chemistry which lead to an increased focus on the development of LLMs benchmarks tailored to chemical domains to assess the performance of LLMs across a spectrum of chemical tasks varying in t
Externí odkaz:
http://arxiv.org/abs/2409.13989
Autor:
Wu, Dayong, Li, Jiaqi, Wang, Baoxin, Zhao, Honghong, Xue, Siyuan, Yang, Yanjie, Chang, Zhijun, Zhang, Rui, Qian, Li, Wang, Bo, Wang, Shijin, Zhang, Zhixiong, Hu, Guoping
Large language models (LLMs) have shown remarkable achievements across various language tasks.To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and super
Externí odkaz:
http://arxiv.org/abs/2408.06574
Autor:
Zhao, Wayne Xin, Zhou, Kun, Zhang, Beichen, Gong, Zheng, Chen, Zhipeng, Zhou, Yuanhang, Wen, Ji-Rong, Sha, Jing, Wang, Shijin, Liu, Cong, Hu, Guoping
Although pre-trained language models~(PLMs) have recently advanced the research progress in mathematical reasoning, they are not specially designed as a capable multi-task solver, suffering from high cost for multi-task deployment (\eg a model copy f
Externí odkaz:
http://arxiv.org/abs/2306.11027
Zero-shot cross-lingual information extraction(IE) aims at constructing an IE model for some low-resource target languages, given annotations exclusively in some rich-resource languages. Recent studies based on language-universal features have shown
Externí odkaz:
http://arxiv.org/abs/2305.12389
Addressing the issues of who saying what to whom in multi-party conversations (MPCs) has recently attracted a lot of research attention. However, existing methods on MPC understanding typically embed interlocutors and utterances into sequential infor
Externí odkaz:
http://arxiv.org/abs/2305.09360
Intent recognition is critical for task-oriented dialogue systems. However, for emerging domains and new services, it is difficult to accurately identify the key intent of a conversation due to time-consuming data annotation and comparatively poor mo
Externí odkaz:
http://arxiv.org/abs/2303.05034
Autor:
Yu, Zhi, Yang, Jianing, Hesam Mousavi, Seyed, Xiao, Penny, Yan, Xue, Zavabeti, Ali, Wang, Yongqiang, Chen, Kaifei, Jefferson Liu, Zhe, Hu, Guoping, Liu, Xiaoling, Zhou, Yu, Webley, Paul A., Kevin Li, Gang
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Autor:
Ren, Tingsheng, Liu, Liying, Jing, Yaxin, Dou, Meixin, Wang, Jian, Chen, Xu, Wang, Zhe, Gao, Peng, Hu, Guoping, May, Eric F.
Publikováno v:
In Separation and Purification Technology 19 February 2025 354 Part 7
Autor:
Wang, Jiaan, Li, Zhixu, Yang, Qiang, Qu, Jianfeng, Chen, Zhigang, Liu, Qingsheng, Hu, Guoping
Sports game summarization aims to generate news articles from live text commentaries. A recent state-of-the-art work, SportsSum, not only constructs a large benchmark dataset, but also proposes a two-step framework. Despite its great contributions, t
Externí odkaz:
http://arxiv.org/abs/2110.05750
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 July 2024 693