基本信息
浏览量:309
职业迁徙
个人简介
My research aims at enabling ubiquitous long-form text generation, where anyone can produce a document on any topic with just a few clicks. To achieve this goal, my research focuses on the following three directions, utilizing advances in deep learning combined with probabilistic modeling:
Long-Form Coherence to generate coherent documents with self-consistency and clear transitions.
Transparent Generation to enable users to understand, debug, and control document generation.
Efficient Systems to handle the scale and real-time requirements of long-form text generation.
Long-Form Coherence to generate coherent documents with self-consistency and clear transitions.
Transparent Generation to enable users to understand, debug, and control document generation.
Efficient Systems to handle the scale and real-time requirements of long-form text generation.
研究兴趣
论文共 39 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
Maxim Zvyagin,Alexander Brace,Kyle Hippe,Yuntian Deng,Bin Zhang, Cindy Orozco Bohorquez,Austin Clyde,Bharat Kale,Danilo Perez-Rivera,Heng Ma,Carla M. Mann, Michael Irvin,
biorxiv(2023)
Richa Rastogi,Yair Schiff,Alon Hacohen, Zhaozhi Li, Ian Lee,Yuntian Deng,Mert R. Sabuncu,Volodymyr Kuleshov
ICLR 2023 (2023)
引用0浏览0引用
0
0
CoRR (2023): 6253-6267
引用1浏览0EI引用
1
0
CoRR (2023)
引用0浏览0EI引用
0
0
Richa Rastogi,Yair Schiff,Alon Hacohen, Zhaozhi Li, Ian Lee,Yuntian Deng,Mert R. Sabuncu,Volodymyr Kuleshov
arxiv(2023)
引用2浏览0EI引用
2
0
ICLR 2023 (2022)
引用1浏览0EI引用
1
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