Fetching the paper…
Reading the bibliography…
Precisely understanding users' contextual search intent has been an important challenge for conversational search.
Few-shot generative conversational query rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, and Zhiyuan Liu. 2020 · 1936
Earlier work this paper cites.
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, and Jimmy Lin. 2020 · 2004
Earlier work this paper cites.
Research frontiers in information retrieval: Report from the third strategic workshop on information retrieval in lorne (swirl 2018)
J Shane Culpepper, Fernando Diaz, and Mark D Smucker. 2018 · 2018
Earlier work this paper cites.
Pytrec_eval: An extremely fast python interface to trec_eval
Christophe Van Gysel and Maarten de Rijke. 2018 · 2018
Earlier work this paper cites.
Deeper text understanding for IR with contextual neural language modeling
Zhuyun Dai and Jamie Callan. 2019 · 2019
Earlier work this paper cites.
Trec cast 2019: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020 · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Earlier work this paper cites.
Cast 2020: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2021 · 2020
Earlier work this paper cites.
Colbert: Efficient and effective passage search via contextualized late interaction over BERT
Omar Khattab and Matei Zaharia. 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.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, and Denny Zhou. 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. 2022 · 2021
Earlier work this paper cites.
Contextualized query embeddings for conversational search
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2021a · 2021
Cited alongside, same era.
Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen. 2021 · 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.
Inpars: Data augmentation for information retrieval using large language models
Luiz Henrique Bonifacio, Hugo Abonizio, Marzieh Fadaee, and Rodrigo Frassetto Nogueira. 2022 · 2022
Cited alongside, same era.
Conqrr: Conversational query rewriting for retrieval with reinforcement learning
Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, 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 B. Hall, and Ming-Wei Chang. 2023 · 2023
Closest in time.
Inpars-v2: Large language models as efficient dataset generators for information retrieval
Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, and Rodrigo Frassetto Nogueira. 2023 · 2023
Closest in time.
Llm-blender: Ensembling large language models with pairwise ranking and generative fusion
Dongfu Jiang, Xiang Ren, and Bill Yuchen Lin. 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Reinforced question rewriting for conversational question answering
Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Rokhlenko Oleg, and Shervin Malmasi. 2022 · 2022
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.
Precise zero-shot dense retrieval without relevance labels
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 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.
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.
Explicit query rewriting for conversational dense retrieval
Hongjin Qian and Zhicheng Dou. 2022 · 2022
Cited alongside, same era.
Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023 · 2023
Closest in time.
Search-oriented conversational query editing
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, and Zhao Cao. 2023a · 2023
Closest in time.
ConvGQR: generative query reformulation for conversational search
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, and Jian-Yun Nie. 2023a · 2023
Closest in time.
Large language models are strong zero-shot retriever
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, and Daxin Jiang. 2023 · 2023
Closest in time.
Is chatgpt good at search? investigating large language models as re-ranking agent
Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, and Zhaochun Ren. 2023 · 2023
Closest in time.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou. 2023b · 2023
Closest in time.
Generate rather than retrieve: Large language models are strong context generators
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, and Meng Jiang. 2023 · 2023
Closest in time.
Large language models for information retrieval: A survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen. 2023 · 2023
Closest in time.
Large language models are built-in autoregressive search engines
Noah Ziems, Wenhao Yu, Zhihan Zhang, and Meng Jiang. 2023 · 2023
Closest in time.