( en | de | ru )

 

Disambiguation of "Zhuang, Shengyao"

Author of the publication

copydeleteadd this publication to your clipboard
Counterfactual Online Learning to Rank.

, and . ECIR (1), volume 12035 of Lecture Notes in Computer Science, page 415-430. Springer, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jinliang Zhuang

Guangchao Zhuang

Yan Zhuang

Zhifeng Zhuang

Weilun Zhuang

 

Other publications of authors with the same name

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls., , , , and . ACM Trans. Inf. Syst., 41 (3): 62:1-62:40 (2023)Dealing with Typos for BERT-based Passage Retrieval and Ranking., and . EMNLP (1), page 2836-2842. Association for Computational Linguistics, (2021)Selecting which Dense Retriever to use for Zero-Shot Search., , , , and . SIGIR-AP, page 223-233. ACM, (2023)The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It., , , and . CoRR, (2024)Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking., , , and . EMNLP (Findings), page 8807-8817. Association for Computational Linguistics, (2023)TILDE: Term Independent Likelihood moDEl for Passage Re-ranking., and . SIGIR, page 1483-1492. ACM, (2021)Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training., and . SIGIR, page 3235-3239. ACM, (2022)Counterfactual Online Learning to Rank., and . ECIR (1), volume 12035 of Lecture Notes in Computer Science, page 415-430. Springer, (2020)Robustness of Neural Rankers to Typos: A Comparative Study., , and . ADCS, page 6:1-6:6. ACM, (2022)PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval., , , , and . CoRR, (2024)