Mahsa Baktash

2024

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Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection.
Ekaterina Khramtsova|Teerapong Leelanupab|Shengyao Zhuang|Mahsa Baktashmotlagh|Guido Zuccon
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Leveraging LLMs for Unsupervised Dense Retriever Ranking.
Ekaterina Khramtsova|Shengyao Zhuang|Mahsa Baktashmotlagh|Guido Zuccon
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024