2 papers
cs.CL2025
Data-Efficient Domain Adaptation for LLM-based MT using Contrastive Preference Optimization
Inacio Vieira, Antonio Castaldo, James O'Doherty +1
LLMs often require adaptation to domain-specific requirements, a process that can be expensive when relying solely on SFT. We present an empirical study on applying CPO to simulate…
cs.CL2024
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes
Inacio Vieira, Will Allred, Séamus Lankford +2
Decoder-only LLMs have shown impressive performance in MT due to their ability to learn from extensive datasets and generate high-quality translations. However, LLMs often struggle…