2024
Does Vec2Text Pose a New Corpus Poisoning Threat?
arXiv
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10 Oct 2024
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arXiv:2410.06628
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657674
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657853
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657921
Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657949
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657813
Leveraging LLMs for Unsupervised Dense Retriever Ranking
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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10 Jul 2024
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10.1145/3626772.3657798
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
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10 Jul 2024
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10.1145/3626772.3657850
The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It
arXiv
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21 Jun 2024
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arXiv:2406.13181
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
arXiv
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21 Jun 2024
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arXiv:2406.14117
A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking
arXiv
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18 Jun 2024
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arXiv:2405.07920
Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
arXiv
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18 Jun 2024
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arXiv:2404.06912
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
arXiv
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18 Jun 2024
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arXiv:2404.18424
Large Language Models for Stemming: Promises, Pitfalls and Failures
arXiv
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20 Feb 2024
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arXiv:2402.11757
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
arXiv
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01 Feb 2024
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arXiv:2401.17645
Zero-Shot Generative Large Language Models for Systematic Review Screening Automation
Lecture Notes in Computer Science
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01 Jan 2024
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10.1007/978-3-031-56027-9_25
2023
Selecting which Dense Retriever to use for Zero-Shot Search
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
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26 Nov 2023
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10.1145/3624918.3625330
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
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26 Nov 2023
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10.1145/3624918.3625324
Exploring the Representation Power of SPLADE Models
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval
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09 Aug 2023
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10.1145/3578337.3605129
Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval
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09 Aug 2023
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10.1145/3578337.3605121
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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18 Jul 2023
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10.1145/3539618.3591952
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation
arXiv
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10 Jul 2023
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arXiv:2206.10128
AgAsk: an agent to help answer farmer’s questions from scientific documents
International Journal on Digital Libraries
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19 Jun 2023
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10.1007/s00799-023-00369-y
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
ACM Transactions on Information Systems
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10 Apr 2023
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10.1145/3570724
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Findings of the Association for Computational Linguistics: EMNLP 2023
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01 Jan 2023
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10.18653/v1/2023.findings-emnlp.590
2022
Robustness of Neural Rankers to Typos: A Comparative Study
Proceedings of the 26th Australasian Document Computing Symposium
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15 Dec 2022
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10.1145/3572960.3572981
Pseudo-Relevance Feedback with Dense Retrievers in Pyserini
Proceedings of the 26th Australasian Document Computing Symposium
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15 Dec 2022
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10.1145/3572960.3572982
Reinforcement online learning to rank with unbiased reward shaping
Information Retrieval Journal
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04 Aug 2022
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10.1007/s10791-022-09413-y
Reduce, Reuse, Recycle
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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10.1145/3477495.3531766
Implicit Feedback for Dense Passage Retrieval
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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10.1145/3477495.3531994
Asyncval
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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10.1145/3477495.3531658
To Interpolate or not to Interpolate
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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10.1145/3477495.3531884
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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06 Jul 2022
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10.1145/3477495.3531951
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
Advances in Information Retrieval
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01 Jan 2022
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https://doi.org/10.1007/978-3-030-99736-6_40
2021
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion
arXiv
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14 Sep 2021
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arXiv:2108.08513
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval
Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval
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11 Jul 2021
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10.1145/3471158.3472233
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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11 Jul 2021
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10.1145/3404835.3462922
How do Online Learning to Rank Methods Adapt to Changes of Intent?
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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11 Jul 2021
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10.1145/3404835.3462937
Effective and Privacy-preserving Federated Online Learning to Rank
Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval
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11 Jul 2021
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10.1145/3471158.3472236
Deep Query Likelihood Model for Information Retrieval
Advances in Information Retrieval
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01 Jan 2021
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https://doi.org/10.1007/978-3-030-72240-1_49
Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study
Lecture Notes in Computer Science
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01 Jan 2021
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10.1007/978-3-030-72240-1_10
Dealing with Typos for BERT-based Passage Retrieval and Ranking
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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01 Jan 2021
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10.18653/v1/2021.emnlp-main.225
2020
Counterfactual Online Learning to Rank
Lecture Notes in Computer Science
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01 Jan 2020
·
10.1007/978-3-030-45439-5_28
Search for Shengyao Zhuang (Arvin)'s papers on the Research page