Xiao Wang

Orcid: 0000-0002-5151-2773

Affiliations:
  • University of Glasgow, UK


According to our database1, Xiao Wang authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Unsupervised dense retrieval with conterfactual contrastive learning.
CoRR, 2024

2023
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval.
ACM Trans. Web, February, 2023

Generative Query Reformulation for Effective Adhoc Search.
CoRR, 2023

Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Effective Contrastive Weighting for Dense Query Expansion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Improving zero-shot retrieval using dense external expansion.
Inf. Process. Manag., 2022

Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

An Inspection of the Reproducibility and Replicability of TCT-ColBERT.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

2020
Deep Reinforced Query Reformulation for Information Retrieval.
CoRR, 2020

University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020


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