A Survey for Efficient Open Domain Question Answering-Reference-Cited by-同舟云学术

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A Survey for Efficient Open Domain Question Answering

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Author:

Zhang Qin,Chen Shangsi,Xu Dongkuan,Cao Qingqing,Chen Xiaojun,Cohn Trevor,Fang Meng

Publisher

Association for Computational Linguistics

Cited by 4 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. SESAME - self-supervised framework for extractive question answering over document collections;Journal of Intelligent Information Systems;2024-07-30

2. Generative Reader Optimization in the RAG-System;2024 V International Conference on Neural Networks and Neurotechnologies (NeuroNT);2024-06-20

3. Unsupervised Multiple Choices Question Answering Via Universal Corpus;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. An Efficient Document Retrieval for Korean Open-Domain Question Answering Based on ColBERT;Applied Sciences;2023-12-12

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