Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs-Reference-Cited by-同舟云学术

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Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhang Yeqin¹,Fu Haomin¹,Fu Cheng²,Yu Haiyang²,Li Yongbin²,Nguyen Cam-Tu¹

Affiliation:

1. Nanjing University,State Key Laboratory for Novel Software Technology,China

2. Alibaba Group

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094297.pdf?arnumber=10094297

Reference30 articles.

1. UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue

2. Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation

3. Incremental transformer with deliberation decoder for document grounded conversations;le;ACL,2019

4. Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

5. Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning to Deliberate: Multi-pass Decoding for Document-Grounded Conversations;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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