Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

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 …

Large language models (LLMs) have demonstrated remarkable capabilities across various
research domains, including the field of Information Retrieval (IR). However, the responses …

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

Information Retrieval (IR), the process of finding information to satisfy user's information
needs, plays an essential role in modern people's lives. Recently, large language models …

Retrieval-augmented generation (RAG) techniques have emerged as a promising solution
to enhance the reliability of large language models (LLMs) by addressing issues like …

Large Language Models (LLMs) like ChatGPT and GPT-4 are versatile and capable of
addressing a diverse range of tasks. However, general LLMs, which are developed on open …

Recent research demonstrates the effectiveness of using pre-trained language models for
legal case retrieval. Most of the existing works focus on improving the representation ability …

Recently, dense retrieval (DR) models, which represent queries and documents with fixed-
width vectors and retrieve relevant ones via nearest neighbor search, have drawn …

Despite recommender systems play a key role in network content platforms, mining the
user's interests is still a significant challenge. Existing works predict the user interest by …