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Query rewriting refers to an established family of approaches that are applied to underspecified and ambiguous queries to overcome the vocabulary mismatch problem in document ranking.
Language models are few-shot learners
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Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Sudha Rao and Hal Daumé III. 2018 · 2018
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From doc2query to docTTTTTquery
David R. Cheriton. 2019 · 2019
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Deeper Text Understanding for IR with Contextual Neural Language Modeling. In ACM SIGIR’19
Zhuyun Dai and Jamie Callan. 2019 · 2019
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Pairwise t-test on TREC Run Files
Luke Gallagher. 2019 · 2019
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Identifying unclear questions in community question answering websites. In Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–18, 2019, Proceedings, Part I 41
Jan Trienes and Krisztian Balog. 2019 · 2019
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Distant supervision in BERT-based adhoc document retrieval. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management
Koustav Rudra and Avishek Anand. 2020 · 2020
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Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck. 2020 · 2020
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Prompting GPT-3 To Be Reliable
Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan Boyd-Graber, and Lijuan Wang. 2022 · 2022
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Transformer memory as a differentiable search index
Yi Tay, Vinh Q Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, et al · 2022
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Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, and Tuo Zhao. 2022 · 2022
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A Survey on In-context Learning
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Larger language models do in-context learning differently
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Leveraging Summary Guidance on Medical Report Summarization
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