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Conversational search provides a natural interface for information retrieval (IR).
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Ms marco: A human generated machine reading comprehension dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al. 2016 · 2016
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Trec complex answer retrieval overview
Laura Dietz, Manisha Verma, Filip Radlinski, and Nick Craswell. 2017 · 2017
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QuAC: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
Flowqa: Grasping flow in history for conversational machine comprehension
Hsin-Yuan Huang, Eunsol Choi, and Wen-tau Yih. 2018 · 2018
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Synthetic QA corpora generation with roundtrip consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, and Michael Collins. 2019 · 2019
Earlier work this paper cites.
Cast 2019: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2019 · 2019
Earlier work this paper cites.
FlowDelta: Modeling flow information gain in reasoning for conversational machine comprehension
Yi-Ting Yeh and Yun-Nung Chen. 2019 · 2019
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An empirical study of content understanding in conversational question answering
Ting-Rui Chiang, Hao-Tong Ye, and Yun-Nung Chen. 2020 · 2020
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
Open-retrieval conversational question answering
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W Bruce Croft, and Mohit Iyyer. 2020 · 2020
Cited alongside, same era.
Scaling deep contrastive learning batch size under memory limited setup
Luyu Gao, Yunyi Zhang, Jiawei Han, and Jamie Callan. 2021 · 2021
Cited alongside, same era.
A graph-guided multi-round retrieval method for conversational open-domain question answering
Yongqi Li, Wenjie Li, and Liqiang Nie. 2021 · 2021
Cited alongside, same era.
Dialog inpainting: Turning documents into dialogs
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, and Kelvin Guu. 2022 · 2022
Later among the works it cites.
Open-domain conversational question answering with historical answers
Hung-Chieh Fang, Kuo-Han Hung, Chen-Wei Huang, and Yun-Nung Chen. 2022 · 2022
Later among the works it cites.
Generating information-seeking conversations from unlabeled documents
Gangwoo Kim, Sungdong Kim, Kang Min Yoo, and Jaewoo Kang. 2022 · 2022
Later among the works it cites.
Multifaceted improvements for conversational open-domain question answering
Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, and Philip S Yu. 2022 · 2022
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ConvTrans: Transforming web search sessions for conversational dense retrieval
Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, and Zhao Cao. 2022 · 2022
Later among the works it cites.
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Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, and Zhiyuan Liu. 2021 · 2021
Cited alongside, same era.
TopiOCQA: Open-domain conversational question answering with topic switching
Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, and Siva Reddy. 2022 · 2022
Cited alongside, same era.
Inpars: Unsupervised dataset generation for information retrieval
Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, and Rodrigo Nogueira. 2022 · 2022
Cited alongside, same era.
CONQRR: Conversational query rewriting for retrieval with reinforcement learning
Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi, Mari Ostendorf, and Gaurav Singh Tomar. 2022 · 2022
Later among the works it cites.
Promptagator: Few-shot dense retrieval from 8 examples
Zhuyun Dai, Vincent Y Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith Hall, and Ming-Wei Chang. 2023 · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
Closest in time.