| 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 | 62 | 2021 |
| Fast passage re-ranking with contextualized exact term matching and efficient passage expansion S Zhuang, G Zuccon arXiv preprint arXiv:2108.08513, 2021 | 56 | 2021 |
| 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 | 54 | 2021 |
| 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 | 44 | 2022 |
| 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 | 42 | 2022 |
| 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 | 37 | 2021 |
| 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 | 34 | 2023 |
| 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 | 29 | 2022 |
| 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 | 25 | 2022 |
| Deep query likelihood model for information retrieval S Zhuang, H Li, G Zuccon European Conference on Information Retrieval, 2021 | 23 | 2021 |
| Counterfactual Online Learning to Rank S Zhuang, G Zuccon European Conference on Information Retrieval, 2020 | 22 | 2020 |
| 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 | 20 | 2022 |
| 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 | 14 | 2023 |
| 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 | 13 | 2021 |
| 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 | 13 | 2021 |
| 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 | 8 | 2023 |
| 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 | 8 | 2021 |
| Reinforcement online learning to rank with unbiased reward shaping S Zhuang, Z Qiao, G Zuccon Information Retrieval Journal 25 (4), 386-413, 2022 | 7 | 2022 |
| 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 | 7 | 2022 |
| 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 | 5 | 2023 |
Guido ZucconProfessor, University of Queensland; Director of AI, Queensland Digital Health CentreVerified email at uq.edu.au
