Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

4 January 2021

Papers citing "Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering"

8 / 8 papers shown

Title
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation Hang Zhang Zhuoling Li Jun Liu LRM 97 1 0 15 Dec 2024
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering Zhongwu Chen Chengjin Xu Dingmin Wang Zhen Huang Yong Dou Xuhui Jiang Jian Guo RALM 52 1 0 15 Oct 2024
QAnswer: Towards Question Answering Search over Websites Kunpeng Guo Clement Defretiere Dennis Diefenbach Christophe Gravier Antoine Gourru 24 4 0 17 Jan 2024
Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models Hossein Bahak Farzaneh Taheri Zahra Zojaji Arefeh Kazemi ELM AI4MH 18 16 0 11 Dec 2023
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification Muhammad Ferjad Naeem Muhammad Gul Zain Ali Khan Yongqin Xian Muhammad Zeshan Afzal D. Stricker Luc Van Gool F. Tombari VLM 14 51 0 05 Dec 2022
Answering Complex Open-domain Questions Through Iterative Query Generation Peng Qi Xiaowen Lin L. Mehr Zijian Wang Christopher D. Manning RALM ReLM LRM 164 117 0 15 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Yixin Nie Songhe Wang Mohit Bansal RALM 151 134 0 17 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 391 2,216 0 03 Sep 2019