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Shengyao Zhuang
Shengyao Zhuang
Postdoctoral Research Fellow, CSIRO
Verified email at uq.edu.au - Homepage
Title
Cited by
Cited by
Year
TILDE: Term Independent Likelihood moDEl for passage re-ranking
S Zhuang, G Zuccon
In Proceedings of the 44th International ACM SIGIR Conference on Research …, 2021
682021
Fast passage re-ranking with contextualized exact term matching and efficient passage expansion
S Zhuang, G Zuccon
arXiv preprint arXiv:2108.08513, 2021
632021
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval
S Wang, S Zhuang, G Zuccon
In Proceedings of the 2021 ACM SIGIR International Conference on the Theory …, 2021
612021
Bridging the gap between indexing and retrieval for differentiable search index with query generation
S Zhuang, H Ren, L Shou, J Pei, M Gong, G Zuccon, D Jiang
arXiv preprint arXiv:2206.10128, 2022
562022
Reduce, reuse, recycle: Green information retrieval research
H Scells, S Zhuang, G Zuccon
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
472022
Dealing with Typos for BERT-based Passage Retrieval and Ranking
S Zhuang, G Zuccon
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
402021
Pseudo relevance feedback with deep language models and dense retrievers: Successes and pitfalls
H Li, A Mourad, S Zhuang, B Koopman, G Zuccon
ACM Transactions on Information Systems 41 (3), 1-40, 2023
382023
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
S Zhuang, G Zuccon
In Proceedings of the 45th International ACM SIGIR Conference on Research …, 2022
312022
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
H Li, S Zhuang, A Mourad, X Ma, J Lin, G Zuccon
European Conference on Information Retrieval, 2022
252022
Deep query likelihood model for information retrieval
S Zhuang, H Li, G Zuccon
European Conference on Information Retrieval, 2021
252021
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
H Li, S Wang, S Zhuang, A Mourad, X Ma, J Lin, G Zuccon
In Proceedings of the 45th International ACM SIGIR Conference on Research …, 2022
222022
Counterfactual Online Learning to Rank
S Zhuang, G Zuccon
European Conference on Information Retrieval, 2020
222020
A setwise approach for effective and highly efficient zero-shot ranking with large language models
S Zhuang, H Zhuang, B Koopman, G Zuccon
arXiv preprint arXiv:2310.09497, 2023
202023
Open-source large language models are strong zero-shot query likelihood models for document ranking
S Zhuang, B Liu, B Koopman, G Zuccon
arXiv preprint arXiv:2310.13243, 2023
172023
Effective and Privacy-preserving Federated Online Learning to Rank
S Wang, B Liu, S Zhuang, G Zuccon
In Proceedings of the 2021 ACM SIGIR International Conference on the Theory …, 2021
132021
Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study
S Wang, S Zhuang, G Zuccon
European Conference on Information Retrieval, 134-149, 2021
132021
Beyond CO2 emissions: The overlooked impact of water consumption of information retrieval models
G Zuccon, H Scells, S Zhuang
Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023
102023
How do Online Learning to Rank Methods Adapt to Changes of Intent?
S Zhuang, G Zuccon
In Proceedings of the 44th International ACM SIGIR Conference on Research …, 2021
92021
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
S Zhuang, H Li, G Zuccon
In Proceedings of the 45th International ACM SIGIR Conference on Research …, 2022
82022
Reinforcement online learning to rank with unbiased reward shaping
S Zhuang, Z Qiao, G Zuccon
Information Retrieval Journal 25 (4), 386-413, 2022
72022
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Articles 1–20