14 citations · 29 across the 6 of their papers we have counts for
6 papers
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation
Jiaqi Bai, Zhao Yan, Jian Yang +3
Existing knowledge-grounded conversation systems generate responses typically in a retrieve-then-generate manner. They require a large knowledge base and a strong knowledge retriev…
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking
Jiaqi Bai, Hongcheng Guo, Jiaheng Liu +4
Retrieval-enhanced text generation has shown remarkable progress on knowledge-intensive language tasks, such as open-domain question answering and knowledge-enhanced dialogue gener…
Knowledge Based Machine Reading Comprehension
Yibo Sun, Daya Guo, Duyu Tang +4
Machine reading comprehension (MRC) requires reasoning about both the knowledge involved in a document and knowledge about the world. However, existing datasets are typically domin…
Keyphrase Generation with Correlation Constraints
Jun Chen, Xiaoming Zhang, Yu Wu +2
In this paper, we study automatic keyphrase generation. Although conventional approaches to this task show promising results, they neglect correlation among keyphrases, resulting i…
Table-to-Text: Describing Table Region with Natural Language
Junwei Bao, Duyu Tang, Nan Duan +4
In this paper, we present a generative model to generate a natural language sentence describing a table region, e.g., a row. The model maps a row from a table to a continuous vecto…
Assertion-based QA with Question-Aware Open Information Extraction
Zhao Yan, Duyu Tang, Nan Duan +5
We present assertion based question answering (ABQA), an open domain question answering task that takes a question and a passage as inputs, and outputs a semi-structured assertion…