How well do SOTA legal reasoning models support abductive reasoning?
We examine how well the state-of-the-art (SOTA) models used in legal reasoning support
abductive reasoning tasks. Abductive reasoning is a form of logical inference in which a …
abductive reasoning tasks. Abductive reasoning is a form of logical inference in which a …
Enhancing logical reasoning in large language models to facilitate legal applications
Language serves as a vehicle for conveying thought, enabling communication among
individuals. The ability to distinguish between diverse concepts, identify fairness and …
individuals. The ability to distinguish between diverse concepts, identify fairness and …
AIEPU at ALQAC 2023: deep learning methods for legal information retrieval and question answering
L Hoang, T Bui, C Nguyen… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Given the widespread integration of Artificial Intelligence across various domains, the
exploration of its applications in the legal field remains understudied, emphasizing the …
exploration of its applications in the legal field remains understudied, emphasizing the …
NeCo@ ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment
In recent years, natural language processing has gained significant popularity in various
sectors, including the legal domain. This paper presents NeCo Team's solutions to the …
sectors, including the legal domain. This paper presents NeCo Team's solutions to the …
A Summary of the ALQAC 2023 Competition
This paper presents an overview of the third edition of the Automated Legal Question
Answering Competition (ALQAC 2023). The primary objective of ALQAC is to address …
Answering Competition (ALQAC 2023). The primary objective of ALQAC is to address …
NOWJ1@ ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models
This paper describes the NOWJ1 Team's approach for the Automated Legal Question
Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance …
Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance …
Legal Knowledge and Information Systems 217 G. Sileno et al.(Eds.) 2023 The Authors. This article is published online with Open Access by IOS Press and distributed …
LLDT Reinforcement - … Systems: JURIX 2023: The Thirty-sixth …, 2023 - books.google.com
Large Language Models (LLMs) face limitations in logical reasoning, which restrict their
applicability in critical domains such as law. Current evaluation methods often lead to …
applicability in critical domains such as law. Current evaluation methods often lead to …