mlsanityData to 7 Oct 2026

BERT-QE: Contextualized Query Expansion for Document Re-ranking

arXiv 2009.07258 ↗First posted 15 Sep 2020cs.IR cs.CLcited by 40

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Abstract (arXiv)

Query expansion aims to mitigate the mismatch between the language used in a query and in a document. However, query expansion methods can suffer from introducing non-relevant information when expanding the query. To bridge this gap, inspired by recent advances in applying contextualized models like BERT to the document retrieval task, this paper proposes a novel query expansion model that leverages the strength of the BERT model to select relevant document chunks for expansion. In evaluation on the standard TREC Robust04 and GOV2 test collections, the proposed BERT-QE model significantly outperforms BERT-Large models.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2020.

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Citing papers per year: 2021: 3; 2022: 6; 2023: 8; 2024: 9; 2025: 9; 2026: 5.

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  1. 2023Large Language Models for Information Retrieval: A Surveycited by 331
  2. 2021MS MARCO: Benchmarking Ranking Models in the Large-Data Regimecited by 28
  3. 2023When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasetscited by 25
  4. 2021What's in a Name? Answer Equivalence For Open-Domain Question Answeringcited by 21
  5. 2024Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challengescited by 20
  6. 2024Taxonomy-guided Semantic Indexing for Academic Paper Searchcited by 12
  7. 2023EmbedDistill: A Geometric Knowledge Distillation for Information Retrievalcited by 11
  8. 2024Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomycited by 11
  9. 2025Scientific Paper Retrieval with LLM-Guided Semantic-Based Rankingcited by 10
  10. 2025Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generationcited by 6
  11. 2024DREQ: Document Re-Ranking Using Entity-based Query Understandingcited by 5
  12. 2024Database-Augmented Query Representation for Information Retrievalcited by 5
28 more
  1. 2024Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approachcited by 5
  2. 2021CODER: An efficient framework for improving retrieval through COntextual Document Embedding Rerankingcited by 4
  3. 2022Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Rankingcited by 4
  4. 2023Relevance Feedback with Brain Signalscited by 4
  5. 2025Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Modelscited by 4
  6. 2022Graph Enhanced BERT for Query Understandingcited by 3
  7. 2024QAEncoder: Towards Aligned Representation Learning in Question Answering Systemscited by 3
  8. 2025PAIRS: Parametric-Verified Adaptive Information Retrieval and Selection for Efficient RAGcited by 3
  9. 2026Decide Then Retrieve: A Training-Free Framework with Uncertainty-Guided Triggering and Dual-Path Retrievalcited by 3
  10. 2023ReFIT: Relevance Feedback from a Reranker during Inferencecited by 2
  11. 2022LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedbackcited by 1
  12. 2022Retrieval Augmentation for T5 Re-ranker using External Sourcescited by 1
  13. 2023Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understandingcited by 1
  14. 2024Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrievalcited by 1
  15. 2025PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexingcited by 1
  16. 2026Retrieval-Feedback-Driven Distillation and Preference Alignment for Efficient LLM-based Query Expansioncited by 1
  17. 2022A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysiscited by 0
  18. 2022Topic-Grained Text Representation-based Model for Document Retrievalcited by 0
  19. 2023Comparative study on Judgment Text Classification for Transformer Based Modelscited by 0
  20. 2023Online Distillation for Pseudo-Relevance Feedbackcited by 0
  21. 2024LGDE: Local Graph-based Dictionary Expansioncited by 0
  22. 2025ConceptCarve: Dynamic Realization of Evidencecited by 0
  23. 2025Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Modelscited by 0
  24. 2025Query-Focused Extractive Summarization for Sentiment Explanationcited by 0
  25. 2025REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Rankingcited by 0
  26. 2026Policy-Grounded Dynamic Facet Suggestions for Job Searchcited by 0
  27. 2026Retrieval-Oriented Code Representations in Agentic Bug Localizationcited by 0
  28. 2026PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAIDcited by 0