1 code implementation • 9 Aug 2023 • Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, LiWei Wang
With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue.
1 code implementation • 3 Nov 2022 • Yanyang Li, Jianqiao Zhao, Michael R. Lyu, LiWei Wang
Recent advances in large-scale pre-training provide large models with the potential to learn knowledge from the raw text.
1 code implementation • 4 Apr 2022 • Wanyu Du, Jianqiao Zhao, LiWei Wang, Yangfeng Ji
The proposed stochastic function is sampled from a Gaussian process prior to (1) provide infinite number of joint Gaussian distributions of random context variables (diversity-promoting) and (2) explicitly model dependency between context variables (accurate-encoding).
no code implementations • 14 Feb 2022 • Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, LiWei Wang
Hence, we propose segment act, an extension of dialog act from utterance level to segment level, and crowdsource a large-scale dataset for it.
no code implementations • 3 Mar 2021 • Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
To facilitate the research on this corpus, we provide results of several benchmark models.