Hang Li

According to our database, Hang Li authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AgAsk: an agent to help answer farmer's questions from scientific documents.

Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon

Int. J. Digit. Libr., December, 2024

TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval.

Chuting Yu, Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon

CoRR, 2024

2023

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls.

Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

ACM Trans. Inf. Syst., 2023

MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction.

Shuai Wang, Hang Li, Guido Zuccon

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AgAsk: A Conversational Search Agent for Answering Agricultural Questions.

Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach.

Shengyao Zhuang, Hang Li, Guido Zuccon

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers.

Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval.

Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study.

Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon

Proceedings of the Advances in Information Retrieval, 2022

Pseudo-Relevance Feedback with Dense Retrievers in Pyserini.

Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon

Proceedings of the 26th Australasian Document Computing Symposium, 2022

2021

Deep Query Likelihood Model for Information Retrieval.

Shengyao Zhuang, Hang Li, Guido Zuccon

Proceedings of the Advances in Information Retrieval, 2021

MeSH Term Suggestion for Systematic Review Literature Search.

Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon

Proceedings of the ADCS '21: Australasian Document Computing Symposium, 2021

2020

IELAB for TREC Conversational Assistance Track (CAsT) 2020.

Sebastian Cross, Hang Li, Arvin Zhuang, Ahmed Mourad, Guido Zuccon, Bevan Koopman

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Systematic Review Automation Tools for End-to-End Query Formulation.

Hang Li, Harrisen Scells, Guido Zuccon

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020