3 citations · 8 across the 7 of their papers we have counts for
7 papers
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Haitao Li, You Chen, Qingyao Ai +3
Large language models (LLMs) have made significant progress in natural language processing tasks and demonstrate considerable potential in the legal domain. However, legal applicat…
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)…
Evaluation Ethics of LLMs in Legal Domain
Ruizhe Zhang, Haitao Li, Yueyue Wu +4
In recent years, the utilization of large language models for natural language dialogue has gained momentum, leading to their widespread adoption across various domains. However, t…
Gender Biased Legal Case Retrieval System on Users' Decision Process
Ruizhe Zhang, Qingyao Ai, Yiqun Liu +2
In the last decade, legal case search has become an important part of a legal practitioner's work. During legal case search, search engines retrieval a number of relevant cases fro…
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…
Diverse legal case search
Ruizhe Zhang, Qingyao Ai, Yueyue Wu +2
In last decades, legal case search has received more and more attention. Legal practitioners need to work or enhance their efficiency by means of class case search. In the process…
Constructing an Interaction Behavior Model for Web Image Search
Xiaohui Xie, Jiaxin Mao, Maarten de Rijke +3
User interaction behavior is a valuable source of implicit relevance feedback. In Web image search a different type of search result presentation is used than in general Web search…