2 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He, Yu Wang, An Yan +5
Curated datasets for healthcare are often limited due to the need of human annotations from experts. In this paper, we present MedEval, a multi-level, multi-task, and multi-domain…
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Yu Wang, Pengchong Qiao, Chang Liu +3
Recent advances in robust semi-supervised learning (SSL) typically filter out-of-distribution (OOD) information at the sample level. We argue that an overlooked problem of robust S…
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition
Yifan Hu, Yu Wang
The development of IoT technology enables a variety of sensors can be integrated into mobile devices. Human Activity Recognition (HAR) based on sensor data has become an active res…