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An Updated Duet Model for Passage Re-ranking

arXiv 1903.07666 ↗First posted 18 Mar 2019cs.IR cs.CLcited by 12

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Abstract (arXiv)

We propose several small modifications to Duet---a deep neural ranking model---and evaluate the updated model on the MS MARCO passage ranking task. We report significant improvements from the proposed changes based on an ablation study.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Mar 2019.

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Citing papers per year: 2021: 5; 2022: 0; 2023: 1; 2024: 3; 2025: 3.

12 papers.

  1. 2021Overview of the TREC 2020 deep learning trackcited by 193
  2. 2021TREC Deep Learning Track: Reusable Test Collections in the Large Data Regimecited by 23
  3. 2021Studying Catastrophic Forgetting in Neural Ranking Modelscited by 9
  4. 2025Hypencoder: Hypernetworks for Information Retrievalcited by 7
  5. 2024DREQ: Document Re-Ranking Using Entity-based Query Understandingcited by 5
  6. 2021Distantly Supervised Transformers For E-Commerce Product QAcited by 3
  7. 2024Location Aware Modular Biencoder for Tourism Question Answeringcited by 2
  8. 2021Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independencecited by 1
  9. 2025QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Rankingcited by 1
  10. 2023dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Modelscited by 0
  11. 2024A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matchingcited by 0
  12. 2025REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Rankingcited by 0