Large language models (LLMs) have revolutionized natural language processing with their
exceptional capabilities. However, deploying LLMs on resource-constrained edge devices …

Large language models (LLMs), including both proprietary and open-source models, have
showcased remarkable capabilities in addressing a wide range of downstream tasks …

Purpose This study aims to adopt a systematic review approach to examine the existing
literature on law and LLMs. It involves analyzing and synthesizing relevant research papers …

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 …

With the development of deep learning and natural language processing techniques, pre-
trained language models have been widely used to solve information retrieval (IR) …

Legal case retrieval has received increasing attention in recent years. However, compared
to ad hoc retrieval tasks, legal case retrieval has its unique challenges. First, case …

Recent years have seen increasing attention on Legal Case Retrieval (LCR), a key task in
the area of Legal AI that concerns the retrieval of cases from a large legal database of …

Passage retrieval is a fundamental task in many information systems, such as web search
and question answering, where both efficiency and effectiveness are critical concerns. In …

Legal case retrieval is a special Information Retrieval (IR) task focusing on legal case
documents. Depending on the downstream tasks of the retrieved case documents, users' …

Large language models (LLMs) have made significant progress in natural language
processing tasks and demonstrate considerable potential in the legal domain. However …