Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …

The advent of large language models (LLMs) and their adoption by the legal community has
given rise to the question: what types of legal reasoning can LLMs perform? To enable …

Statutory reasoning is the task of reasoning with facts and statutes, which are rules written in
natural language by a legislature. It is a basic legal skill. In this paper we explore the …

Legal case retrieval, which aims to find relevant cases for a query case, plays a core role in
the intelligent legal system. Despite the success that pre-training has achieved in ad-hoc …

Large language models that are capable of zero or few-shot prompting approaches have
given rise to the new research area of prompt engineering. Recent advances showed that …

Several works have proven that finetuning is an applicable approach for debiasing
contextualized word embeddings. Similarly, discrete prompts with semantic meanings have …

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 …

We present a summary of the 9th Competition on Legal Information Extraction and
Entailment (COLIEE 2022). The competition consists of four tasks on case law and statute …

Many individuals are likely to face a legal dispute at some point in their lives, but their lack of
understanding of how to navigate these complex issues often renders them vulnerable. The …