Fetching the paper…
Reading the bibliography…
Conversational search utilizes muli-turn natural language contexts to retrieve relevant passages.
A spreading-activation theory of semantic processing
Allan M Collins and Elizabeth F Loftus. 1975 · 1975
Earlier work this paper cites.
Strategies of discourse comprehension
Teun Adrianus Van Dijk, Walter Kintsch, et al. 1983 · 1983
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.
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.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Earlier work this paper cites.
Cast 2020: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020 · 2020
Earlier work this paper cites.
Item tagging for information retrieval: A tripartite graph neural network based approach
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, and Xiuqiang He. 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.
SPLADE: sparse lexical and expansion model for first stage ranking
Thibault Formal, Benjamin Piwowarski, and Stéphane Clinchant. 2021 · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Few-shot conversational dense retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, and Zhiyuan Liu. 2021 · 2021
Earlier work this paper cites.
PSSL: self-supervised learning for personalized search with contrastive sampling
Yujia Zhou, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen. 2021 · 2021
Earlier work this paper cites.
Contrastive learning of user behavior sequence for context-aware document ranking
Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang. 2021 · 2021
Earlier work this paper cites.
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: Data augmentation for information retrieval using large language models
Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, and Rodrigo Frassetto Nogueira. 2022 · 2022
Cited alongside, same era.
Reinforced question rewriting for conversational question answering
Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, and Shervin Malmasi. 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.
How to train your dragon: Diverse augmentation towards generalizable dense retrieval
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, and Xilun Chen. 2023 · 2023
Later among the works it cites.
Fine-tuning llama for multi-stage text retrieval
Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin. 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.
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. 2023b · 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. 2023c · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Explicit query rewriting for conversational dense retrieval
Hongjin Qian and Zhicheng Dou. 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
Cited alongside, same era.
Task-aware retrieval with instructions
Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, and Wen-tau Yih. 2023a · 2023
Cited alongside, same era.
Contrastive learning for user sequence representation in personalized product search
Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, and Ji-Rong Wen. 2023 · 2023
Cited alongside, same era.
Precise zero-shot dense retrieval without relevance labels
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2023b · 2023
Cited alongside, same era.
CONVERSER: few-shot conversational dense retrieval with synthetic data generation
Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, and Yun-Nung Chen. 2023 · 2023
Cited alongside, same era.
Instructor: Instructing unsupervised conversational dense retrieval with large language models
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
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.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Later among the works it cites.
Query2doc: Query expansion with large language models
Liang Wang, Nan Yang, and Furu Wei. 2023 · 2023
Later among the works it cites.
Enhancing conversational search: Large language model-aided informative query rewriting
Fanghua Ye, Meng Fang, Shenghui Li, and Emine Yilmaz. 2023 · 2023
Later among the works it cites.
Interpreting conversational dense retrieval by rewriting-enhanced inversion of session embedding
Yiruo Cheng, Kelong Mao, 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.
Generative relevance feedback with large language models
Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023 · 2031
Closest in time.