Thuy-Trang Vu

Simultaneous Machine Translation with Large Language Models

2023 · arXiv (Cornell University)

Real-world simultaneous machine translation (SimulMT) systems face more challenges than just the quality-latency trade-off. They also need to address issues related to robustness with noisy input, processing long contexts, and flexibility for knowledge injection. These …

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models

2024 · arXiv (Cornell University)

Large language models (LLMs) are typically fine-tuned on diverse and extensive datasets sourced from various origins to develop a comprehensive range of skills, such as writing, reasoning, chatting, coding, and more. Each skill has unique …