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Conversational dense retrieval has shown to be effective in conversational search.
Few-shot generative conversational query rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, and Zhiyuan Liu. 2020 · 1936
Earlier work this paper cites.
TREC cast 2019: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020b · 2003
Earlier work this paper cites.
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, and Jimmy Lin. 2020 · 2004
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
A theoretical framework for conversational search
Filip Radlinski and Nick Craswell. 2017 · 2017
Earlier work this paper cites.
Cast 2020: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020a · 2020
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Earlier work this paper cites.
Making information seeking easier: An improved pipeline for conversational search
Vaibhav Kumar and Jamie Callan. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Earlier work this paper cites.
Query resolution for conversational search with limited supervision
Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, and Maarten de Rijke. 2020 · 2020
Earlier work this paper cites.
Open-domain question answering goes conversational via question rewriting
Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, and Srinivas Chappidi. 2021 · 2021
Earlier work this paper cites.
TREC cast 2021: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2021 · 2021
Earlier work this paper cites.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2021 · 2021
Earlier work this paper cites.
Contextualized query embeddings for conversational search
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2021 · 2021
Earlier work this paper cites.
Conversational query rewriting with self-supervised learning
Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, and Bowen Zhou. 2021 · 2021
Earlier work this paper cites.
Question rewriting for conversational question answering
Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, and Raviteja Anantha. 2021a · 2021
Cited alongside, same era.
A comparison of question rewriting methods for conversational passage retrieval
Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, and Shayne Longpre. 2021b · 2021
Cited alongside, same era.
Approximate nearest neighbor negative contrastive learning for dense text retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
Cited alongside, same era.
Few-shot conversational dense retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, and Zhiyuan Liu. 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
Cited alongside, same era.
Sentence embedding leaks more information than you expect: Generative embedding inversion attack to recover the whole sentence
Haoran Li, Mingshi Xu, and Yangqiu Song. 2023 · 2023
Later among the works it cites.
Search-oriented conversational query editing
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, and Zhao Cao. 2023a · 2023
Later among the works it cites.
Search-oriented conversational query editing
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, and Zhao Cao. 2023b · 2023
Later among the works it cites.
Large language models know your contextual search intent: A prompting framework for conversational search
Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, and Hongjin Qian. 2023c · 2023
Later among the works it cites.
Learning denoised and interpretable session representation for conversational search
Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, and Zhao Cao. 2023d · 2023
Later among the works it cites.
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Jianfeng Gao, Chenyan Xiong, Paul Bennett, and Nick Craswell. 2022 · 2022
Cited alongside, same era.
Saving dense retriever from shortcut dependency in conversational search
Sungdong Kim and Gangwoo Kim. 2022 · 2022
Cited alongside, same era.
Zero-shot query contextualization for conversational search
Antonios Minas Krasakis, Andrew Yates, and Evangelos Kanoulas. 2022 · 2022
Cited alongside, same era.
Curriculum contrastive context denoising for few-shot conversational dense retrieval
Kelong Mao, Zhicheng Dou, and Hongjin Qian. 2022a · 2022
Cited alongside, same era.
Convtrans: Transforming web search sessions for conversational dense retrieval
Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, and Zhao Cao. 2022b · 2022
Cited alongside, same era.
Large dual encoders are generalizable retrievers
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, and Yinfei Yang. 2022 · 2022
Cited alongside, same era.
Explicit query rewriting for conversational dense retrieval
Hongjin Qian and Zhicheng Dou. 2022 · 2022
Cited alongside, same era.
Convgqr: Generative query reformulation for conversational search
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, and Jian-Yun Nie. 2023a · 2023
Later among the works it cites.
Learning to relate to previous turns in conversational search
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, and Yang Liu. 2023b · 2023
Later among the works it cites.
Text embeddings reveal (almost) as much as text
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, and Alexander M. Rush. 2023 · 2023
Later among the works it cites.
What are you token about? dense retrieval as distributions over the vocabulary
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, and Amir Globerson. 2023 · 2023
Later among the works it cites.
C-pack: Packaged resources to advance general chinese embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighof. 2023 · 2023
Later among the works it cites.
Large language models for information retrieval: A survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan Chen, Zhicheng Dou, and Ji-Rong Wen. 2023 · 2023
Later among the works it cites.
Generalizing conversational dense retrieval via llm-cognition data augmentation
Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, and Ziliang Zhao. 2024 · 2024
Closest in time.
Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, and Zhicheng Dou. 2024 · 2024
Closest in time.
History-aware conversational dense retrieval
Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, and Jian-Yun Nie. 2024 · 2024
Closest in time.