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In information retrieval, facet identification of a user query is an important task.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Relevance feedback in information retrieval
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A vector space model for automatic indexing
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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An inference approach to basic level of categorization
Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, and Yanghua Xiao. 2015 · 2015
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A large DataBase of hypernymy relations extracted from the web
Julian Seitner, Christian Bizer, Kai Eckert, Stefano Faralli, Robert Meusel, Heiko Paulheim, and Simone Paolo Ponzetto. 2016 · 2016
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Relevance-based language models
Victor Lavrenko and W Bruce Croft. 2017 · 2017
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A theoretical framework for conversational search
Filip Radlinski and Nick Craswell. 2017 · 2017
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Exploring conversational search with humans, assistants, and wizards
Alexandra Vtyurina, Denis Savenkov, Eugene Agichtein, and Charles L. A. Clarke. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
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Asking clarifying questions in open-domain information-seeking conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Generating clarifying questions for information retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020a · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Mimics: A large-scale data collection for search clarification
Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, and Nick Craswell. 2020 · 2020
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Building and evaluating open-domain dialogue corpora with clarifying questions
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, and Mikhail Burtsev. 2021 · 2021
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Learning multiple intent representations for search queries
Helia Hashemi, Hamed Zamani, and W. Bruce Croft. 2021 · 2021
Cited alongside, same era.
Towards facet-driven generation of clarifying questions for conversational search
Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee. 2023 · 2023
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Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, and Tomas Pfister. 2023 · 2023
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Hyperbeeai/tulpar-7b-v0
HyperbeeAI. 2023 · 2023
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Query expansion by prompting large language models
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, and Michael Bendersky. 2023 · 2023
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Large language models are state-of-the-art evaluators of translation quality
Tom Kocmi and Christian Federmann. 2023 · 2023
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Ivan Sekulić, Mohammad Aliannejadi, and Fabio Crestani. 2021 · 2021
Cited alongside, same era.
Stochastic optimization of text set generation for learning multiple query intent representations
Helia Hashemi, Hamed Zamani, and W. Bruce Croft. 2022 · 2022
Cited alongside, same era.
Chatgpt: Optimizing language models for dialogue
OpenAI. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Revisiting open domain query facet extraction and generation
Chris Samarinas, Arkin Dharawat, and Hamed Zamani. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
Open llm leaderboard
Edward Beeching, Clémentine Fourrier, Nathan Habib, Sheon Han, Nathan Lambert, Nazneen Rajani, Omar Sanseviero, Lewis Tunstall, and Thomas Wolf. 2023 · 2023
Cited alongside, same era.
Openorcaplatypus: Llama2-13b model instruct-tuned on filtered openorcav1 gpt-4 dataset and merged with divergent stem and logic dataset model
Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz, Bleys Goodson, Wing Lian, Guan Wang, Eugene Pentland, Austin Cook, Chanvichet Vong, and "Teknium". 2023 · 2023
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Query sub-intent mining by incorporating search results with query logs for information retrieval
Xinyu Liu. 2023 · 2023
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G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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OpenAI. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al. 2023 · 2023
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Query2doc: Query expansion with large language models
Liang Wang, Nan Yang, and Furu Wei. 2023 · 2023
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Improving search clarification with structured information extracted from search results
Ziliang Zhao, Zhicheng Dou, Yu Guo, Zhao Cao, and Xiaohua Cheng. 2023 · 2023
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upstage/llama-30b-instruct-2048
Upstage. 2023 · 2048
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