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 …

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' …

Hallucinations in large language models (LLMs) refer to the phenomenon of LLMs
producing responses that are coherent yet factually inaccurate. This issue undermines the …

Dynamic retrieval augmented generation (RAG) paradigm actively decides when and what
to retrieve during the text generation process of Large Language Models (LLMs). There are …

Legal case retrieval is a special IR task aiming to retrieve supporting cases for a given query
case. Existing works have shown that conversational search paradigm can improve users' …

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 …

The legal domain presents unique challenges in information processing, given the
complexity and specificity of legal texts. Addressing these challenges, this work leverages …

The emergence of Large Language Models (LLMs) has revolutionized how users access
information, shifting from traditional search engines to direct question-and-answer …

Similar case retrieval (SCR) is a representative legal AI application that plays a pivotal role
in promoting judicial fairness. However, existing SCR datasets only focus on the fact …

As a pivotal task in natural language processing, element extraction has gained significance
in the legal domain. Extracting legal elements from judicial documents helps enhance …