Xiaohua Cheng — accepted AI-conference papers

2023

Search-Oriented Conversational Query Editing

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu +2

ACL 2023findings

Conversational query rewriting (CQR) realizes conversational search by reformulating the search dialogue into a standalone rewrite. However, existing CQR models either are not learned toward improving the downstream search performance or inefficiently generate the rewrite token-by-token from scratch…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗

2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval

Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao

EMNLP 2022main

Conversational search provides users with a natural and convenient new search experience. Recently, conversational dense retrieval has shown to be a promising technique for realizing conversational search. However, as conversational search systems have not been widely deployed, it is hard to get lar…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗