Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check-Reference-Cited by-同舟云学术

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

Published:2024-07-10 Issue: Volume:38 Page:2301-2305
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Ye Linhao¹^ORCID,Lei Zhikai¹^ORCID,Yin Jianghao¹^ORCID,Chen Qin¹^ORCID,Zhou Jie¹^ORCID,He Liang¹^ORCID

Affiliation:

1. East China Normal University, ShangHai, China

Funder

This research is funded by the National Science and Technology Major Project and the Science and Technology Commission of Shanghai Municipality Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657980

Reference39 articles.

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2. TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

3. Unsupervised Approach for Knowledge-Graph Creation from Conversation: The Use of Intent Supervision for Slot Filling

4. Open-Domain Question Answering Goes Conversational via Question Rewriting

5. Rohan Anil Andrew M Dai Orhan Firat Melvin Johnson Dmitry Lepikhin Alexandre Passos Siamak Shakeri Emanuel Taropa Paige Bailey Zhifeng Chen et al. 2023. Palm 2 technical report. arXiv preprint arXiv:2305.10403 (2023).

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