Overview of the TREC 2019 deep learning track

17 March 2020

Papers citing "Overview of the TREC 2019 deep learning track"

8 / 8 papers shown

Title
Leveraging Decoder Architectures for Learned Sparse Retrieval Jingfen Qiao Thong Nguyen Evangelos Kanoulas Andrew Yates 30 36 0 25 Apr 2025
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval Yongkang Li Panagiotis Eustratiadis Simon Lupart Evangelos Kanoulas AAML 30 33 0 24 Apr 2025
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking Chris Samarinas Hamed Zamani ALM LRM 56 27 0 04 Apr 2025
Hypencoder: Hypernetworks for Information Retrieval Julian Killingback Hansi Zeng Hamed Zamani 87 66 0 07 Feb 2025
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Can Jin Hongwu Peng Anxiang Zhang Nuo Chen Jiahui Zhao ... K. Li Shuya Feng Kai Zhong Caiwen Ding Dimitris N. Metaxas 87 55 0 02 Feb 2025
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models Manveer Singh Tamber Jasper Xian Jimmy Lin MLAU SILM 37 29 0 13 Jun 2024
ir_explain: a Python Library of Explainable IR Methods S. Harsh Agarwal Venktesh V Avishek Anand Swastik Mohanty Debapriyo Majumdar Mandar Mitra XAI 20 36 0 29 Apr 2024
Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking Tianyu Zhu M. Jung Jesse Clark 71 72 0 12 Apr 2024