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Neural ranking models (NRMs) have become one of the most important techniques in information retrieval (IR).
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Ernie: Enhanced representation through knowledge integration
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A deep look into neural ranking models for information retrieval
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Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, and SVN Vishwanathan. 2021 · 2021
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A Sensitivity Analysis of the MSMARCO Passage Collection
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RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
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Shallow pooling for sparse labels
Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, and Charles LA Clarke. 2022 · 2022
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Semantic models for the first-stage retrieval: A comprehensive review
Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, and Xueqi Cheng. 2022 · 2022
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DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, Qiaoqiao She, Jing Liu, Hua Wu, and Haifeng Wang. 2022 · 2022
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