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Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2023) Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*. In: 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR23), Taipei, Taiwan, 23-27 July 2023, (Accepted for Publication)

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Item Type:Conference Proceedings
Additional Information:This work is supported, in part, by the spoke “FutureHPC&BigData” of the ICSC – Centro Nazionale di Ricerca in High-Performance Computing, Big Data and Quantum Computing funded by European Union – NextGenerationEU, and the FoReLab project (Departments of Excellence). Xiao Wang acknowledges support by the China Scholarship Council (CSC) from the Ministry of Education of P.R. China.
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Tonellotto, Dr Nicola and Ounis, Professor Iadh and Macdonald, Professor Craig and Wang, Ms Xiao
Authors: Wang, X., Macdonald, C., Tonellotto, N., and Ounis, I.
College/School:College of Science and Engineering > School of Computing Science
Research Centre:College of Science and Engineering > School of Computing Science > IDA Section > GPU Cluster
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