18 citations · 42 across the 13 of their papers we have counts for
13 papers
Improving Legal Case Retrieval with Brain Signals
Ruizhe Zhang, Qingyao Ai, Ziyi Ye +3
The tasks of legal case retrieval have received growing attention from the IR community in the last decade. Relevance feedback techniques with implicit user feedback (e.g., clicks)…
Relevance Feedback with Brain Signals
Ziyi Ye, Xiaohui Xie, Qingyao Ai +4
The Relevance Feedback (RF) process relies on accurate and real-time relevance estimation of feedback documents to improve retrieval performance. Since collecting explicit relevanc…
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network
Kaiyuan Zhang, Ziyi Ye, Qingyao Ai +2
Electroencephalography(EEG) classification is a crucial task in neuroscience, neural engineering, and several commercial applications. Traditional EEG classification models, howeve…
T2Ranking: A large-scale Chinese Benchmark for Passage Ranking
Xiaohui Xie, Qian Dong, Bingning Wang +8
Passage ranking involves two stages: passage retrieval and passage re-ranking, which are important and challenging topics for both academics and industries in the area of Informati…
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
Ziyi Ye, Xiaohui Xie, Yiqun Liu +4
With the growth of information on the Web, most users heavily rely on information access systems (e.g., search engines, recommender systems, etc.) in their daily lives. During this…
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Jingtao Zhan, Qingyao Ai, Yiqun Liu +4
Recent advance in Dense Retrieval (DR) techniques has significantly improved the effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models can enc…