12 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 12 cited
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue
Weihao Gao, Zhuo Deng, Zhiyuan Niu +10
Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and genera…
cs.CL2023★ 2 cited
Rank-Aware Negative Training for Semi-Supervised Text Classification
Ahmed Murtadha, Shengfeng Pan, Wen Bo +4
Semi-supervised text classification-based paradigms (SSTC) typically employ the spirit of self-training. The key idea is to train a deep classifier on limited labeled texts and the…