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Recent studies show that Generative Relevance Feedback (GRF), using text generated by Large Language Models (LLMs), can enhance the effectiveness of query expansion.
Relevance feedback in information retrieval
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Language models are few-shot learners
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Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
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Improving query representations for dense retrieval with pseudo relevance feedback: A reproducibility study. In Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part I . Springer, 599–612
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Query Expansion Using Contextual Clue Sampling with Language Models
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In-batch negatives for knowledge distillation with tightly-coupled teachers for dense retrieval. In Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021) . 163–173
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How deep is your learning: The DL-HARD annotated deep learning dataset. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2335–2341
Iain Mackie, Jeffrey Dalton, and Andrew Yates. 2021 · 2021
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Ceqe: Contextualized embeddings for query expansion. In Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28–April 1, 2021, Proceedings, Part I 43 . Springer, 467–482
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Question rewriting for conversational question answering. In Proceedings of the 14th ACM international conference on web search and data mining . 355–363
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ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval
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ExaRanker: Explanation-Augmented Neural Ranker
Fernando Ferraretto, Thiago Laitz, Roberto Lotufo, and Rodrigo Nogueira. 2023 · 2023
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Naver Labs Europe (SPLADE)@ TREC Deep Learning 2022
Carlos Lassance and Stéphane Clinchant. 2023 · 2023
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Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval
Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023a · 2023
Closest in time.
Generative Relevance Feedback with Large Language Models
Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton. 2023b · 2023
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Visconde: Multi-document QA with GPT-3 and Neural Reranking. In Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II . Springer, 534–543
Jayr Pereira, Robson Fidalgo, Roberto Lotufo, and Rodrigo Nogueira. 2023 · 2023
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