38 citations · 103 across the 93 of their papers we have counts for
4 papers · 1 filter
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…
BrainLLM: Generative Language Decoding from Brain Recordings
Ziyi Ye, Qingyao Ai, Yiqun Liu +4
Generating human language through non-invasive brain-computer interfaces (BCIs) has the potential to unlock many applications, such as serving disabled patients and improving commu…
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
Haitao Li, Yunqiu Shao, Yueyue Wu +3
As an important component of intelligent legal systems, legal case retrieval plays a critical role in ensuring judicial justice and fairness. However, the development of legal case…
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process
Beining Wang, Ruizhe Zhang, Yueyue Wu +3
Given a specific query case, legal case retrieval systems aim to retrieve a set of case documents relevant to the case at hand. Previous studies on user behavior analysis have show…