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Conversational search has seen increased recent attention in both the IR and NLP communities.
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Asking Clarifying Questions Based on Negative Feedback in Conversational Search. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval . 157–166
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Conversational Search and Recommendation: Introduction to the Special Issue
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A corpus-free state2seq user simulator for task-oriented dialogue. In Chinese Computational Linguistics: 18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings . Springer, 689–702
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Roberta: A robustly optimized bert pretraining approach
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Language models as knowledge bases?
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Language models are unsupervised multitask learners
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Answer-based adversarial training for generating clarification questions
Sudha Rao and Hal Daumé III. 2019 · 2019
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Simulating User Feedback for Reinforcement Learning Based Recommendations
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ConvAI3: Generating clarifying questions for open-domain dialogue systems (ClariQ)
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, and Mikhail Burtsev. 2020 · 2020
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TREC CAsT 2019: The conversational assistance track overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020 · 2020
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Towards Facet-Driven Generation of Clarifying Questions for Conversational Search. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval . 167–175
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Finetuned language models are zero-shot learners
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Unsupervised question clarity prediction through retrieved item coherency. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management . 3811–3816
Negar Arabzadeh, Mahsa Seifikar, and Charles LA Clarke. 2022 · 2022
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Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani, Kathleen A Creel, Ananya Kumar, Dan Jurafsky, and Percy S Liang. 2022 · 2022
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Neural approaches to conversational information retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, and Nick Craswell. 2022 · 2022
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How to Approach Ambiguous Queries in Conversational Search? A Survey of Techniques, Approaches, Tools and Challenges
Kimiya Keyvan and Jimmy Xiangji Huang. 2022 · 2022
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Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, et al · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Evaluating Mixed-Initiative Conversational Search Systems via User Simulation. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (Virtual Event, AZ, USA) (WSDM ’22) . Association for Computing Machinery, New York, NY, USA, 888–896
Ivan Sekulić, Mohammad Aliannejadi, and Fabio Crestani. 2022 · 2022
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Simulating and Modeling the Risk of Conversational Search
Zhenduo Wang and Qingyao Ai. 2022 · 2022
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Conversational information seeking
Hamed Zamani, Johanne R Trippas, Jeff Dalton, and Filip Radlinski. 2022 · 2022
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GPT-4 technical report
OpenAI. 2023 · 2023
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Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 632–642
Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, and Fabio Crestani. 2023 · 2023
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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, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
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Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2023 · 2023
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Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Maria Soledad Pera, and Yiqun Liu. 2023 · 2023
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