Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …

While significant progress has been made on the task of Legal Judgment Prediction (LJP) in
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …

Legal judgment prediction (LJP) is a fundamental task of legal artificial intelligence. It aims to
automatically predict the judgment results of legal cases. Three typical subtasks are relevant …

An automated system that could assist a judge in predicting the outcome of a case would
help expedite the judicial process. For such a system to be practically useful, predictions by …

Legal judgment prediction (LJP) is a significant task in legal intelligence, which aims to
assist the judges and determine the judgment result based on the case's fact description …

Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system,
which aims to automatically predict the judgment results of multiple subtasks, such as …

Large Language Models (LLMs), like LLaMA, have exhibited remarkable performance
across various tasks. Nevertheless, when deployed to specific domains such as law or …

Legal text mining is targeted at automatically analyzing the texts in the legal domain by
employing various natural language processing techniques and has attracted enormous …

Legal judgment prediction (LJP) is an essential task for legal AI. While prior methods studied
on this topic in a pseudo setting by employing the judge-summarized case narrative as the …