3 papers
cs.CL2024
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination
Ha-Thanh Nguyen, Hiroaki Yamada, Ken Satoh
In this paper, we explore the application of Generative Pre-trained Transformers (GPTs) in cross-lingual legal Question-Answering (QA) systems using the COLIEE Task 4 dataset. In t…
cs.CL2024
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen +3
Large language models with billions of parameters, such as GPT-3.5, GPT-4, and LLaMA, are increasingly prevalent. Numerous studies have explored effective prompting techniques to h…
cs.CL2024
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Ha-Thanh Nguyen, Ken Satoh
Finetuning approaches in NLP often focus on exploitation rather than exploration, which may lead to suboptimal models. Given the vast search space of natural language, this limited…