基本信息
浏览量:411
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
Yuchen's primary interest lies in studying the science of large language models (LLMs), developing AI agents for complex interactive tasks, and evaluating the reasoning and alignment ability of LLMs. His research aims to teach machines how to think, plan, and act like humans. Moreover, Yuchen's work focuses on enhancing the robustness, safety, and generalization of LLMs through retrieval augmentation, continual learning, ensemble learning, etc.
研究兴趣
论文共 93 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.41-63, (2024)
Seungone Kim, Juyoung Suk, Ji Yong Cho,Shayne Longpre,Chaeeun Kim,Dongkeun Yoon,Guijin Son, Yejin Cho,Sheikh Shafayat,Jinheon Baek,Sue Hyun Park,Hyeonbin Hwang,
arxiv(2024)
引用0浏览0引用
0
0
Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.91-95, (2024)
Ge Zhang, Scott Qu,Jiaheng Liu, Chenchen Zhang,Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng,Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng,
CoRR (2024)
引用0浏览0EI引用
0
0
arxiv(2024)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn