2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
Yusheng Liao, Shuyang Jiang, Yu Wang +1
Large language models like ChatGPT have shown substantial progress in natural language understanding and generation, proving valuable across various disciplines, including the medi…
cs.CL2024
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
Yusheng Liao, Yanfeng Wang, Yu Wang
Autoregressive (AR) and Non-autoregressive (NAR) models are two types of generative models for Neural Machine Translation (NMT). AR models predict tokens in a word-by-word manner a…
cs.CL2023★ 2 cited
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models
Yusheng Liao, Yutong Meng, Hongcheng Liu +2
Large language models (LLMs) have achieved significant success in interacting with human. However, recent studies have revealed that these models often suffer from hallucinations,…