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Multi-hop QA requires reasoning over multiple supporting facts to answer the question.
Cognitive graph for multi-hop reading comprehension at scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, and Jie Tang. 2019 · 1905
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Answering while summarizing: Multi-task learning for multi-hop qa with evidence extraction
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, and Junji Tomita. 2019 · 1905
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Yichen Jiang and Mohit Bansal. 2019 · 1906
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Compositional questions do not necessitate multi-hop reasoning
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019a · 1906
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Multi-hop reading comprehension through question decomposition and rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2019b · 1906
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Revealing the importance of semantic retrieval for machine reading at scale
Yixin Nie, Songhe Wang, and Mohit Bansal. 2019 · 1909
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Multi-hop question answering via reasoning chains
Jifan Chen, Shih-ting Lin, and Greg Durrett. 2019 · 1910
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Answering complex open-domain questions through iterative query generation
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, and Christopher D Manning. 2019 · 1910
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Learning to retrieve reasoning paths over wikipedia graph for question answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong. 2019 · 1911
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Hierarchical graph network for multi-hop question answering
Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, and Jingjing Liu. 2019 · 1911
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A simple yet strong pipeline for hotpotqa
Dirk Groeneveld, Tushar Khot, Ashish Sabharwal, et al. 2020 · 2004
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2004
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Is graph structure necessary for multi-hop question answering?
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, and Guoping Hu. 2020 · 2004
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Is multihop qa in dire condition? measuring and reducing disconnected reasoning
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2020 · 2005
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Answering complex open-domain questions with multi-hop dense retrieval
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, et al. 2020 · 2009
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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Transformer-xh: Multi-evidence reasoning with extra hop attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, and Saurabh Tiwary. 2020 · 2020
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Robustifying multi-hop qa through pseudo-evidentiality training
Kyungjae Lee, Seung-won Hwang, Sang-eun Han, and Dohyeon Lee. 2021 · 2021
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Hopretriever: Retrieve hops over wikipedia to answer complex questions
Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, and Bingquan Liu. 2021 · 2021
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Counterfactual vqa: A cause-effect look at language bias
Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, and Ji-Rong Wen. 2021 · 2021
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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The book of why: the new science of cause and effect
Judea Pearl and Dana Mackenzie. 2018 · 2018
Cited alongside, same era.
Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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Multi-step entity-centric information retrieval for multi-hop question answering
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, et al. 2019 · 2019
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Dynamically fused graph network for multi-hop reasoning
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, and Yong Yu. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Cross-domain empirical risk minimization for unbiased long-tailed classification
Beier Zhu, Yulei Niu, Xian-Sheng Hua, and Hanwang Zhang. 2021a
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Adaptive information seeking for open-domain question answering
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, and Xueqi Cheng. 2021b
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Counterfactual attention learning for fine-grained visual categorization and re-identification
Yongming Rao, Guangyi Chen, Jiwen Lu, and Jie Zhou. 2021 · 2021
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Causal attention for unbiased visual recognition
Tan Wang, Chang Zhou, Qianru Sun, and Hanwang Zhang. 2021 · 2021
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Causal attention for vision-language tasks
Xu Yang, Hanwang Zhang, Guojun Qi, and Jianfei Cai. 2021 · 2021
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Connecting attributions and qa model behavior on realistic counterfactuals
Xi Ye, Rohan Nair, and Greg Durrett. 2021 · 2021
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Direct and indirect effects
Judea Pearl. 2022 · 2022
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