Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

6 October 2022

Papers citing "Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering"

6 / 6 papers shown

Title
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 205 235 0 21 Sep 2022
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 38 17 0 08 Dec 2021
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu Wenqiang Lei Chao Wang Jianming Zheng Soujanya Poria Tat-Seng Chua RALM 193 210 0 04 Jan 2021
Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering Yuning Mao Pengcheng He Xiaodong Liu Yelong Shen Jianfeng Gao Jiawei Han Weizhu Chen OOD LRM 121 32 0 01 Jan 2021
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering Barlas Oğuz Xilun Chen Vladimir Karpukhin Stanislav Peshterliev Dmytro Okhonko M. Schlichtkrull Sonal Gupta Yashar Mehdad Scott Yih 184 80 0 29 Dec 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua-Hong Wu Haifeng Wang RALM OffRL 186 516 0 16 Oct 2020