MS MARCO: Benchmarking Ranking Models in the Large-Data Regime

Author:

Craswell Nick1,Mitra Bhaskar2,Yilmaz Emine3,Campos Daniel4,Lin Jimmy5

Affiliation:

1. Microsoft, Bellevue, WA, USA

2. Microsoft & University College London, Montreal, PQ, Canada

3. University College London, London, United Kingdom

4. University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA

5. University of Waterloo & Microsoft, Waterloo, ON, Canada

Publisher

ACM

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1. GEO: Generative Engine Optimization;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. A Reproducibility Study of PLAID;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

5. Injecting the score of the first-stage retriever as text improves BERT-based re-rankers;Discover Computing;2024-06-26

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