3 citations · 5 across the 13 of their papers we have counts for
5 papers · 1 filter
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
Yiming Shi, Xun Zhu, Kaiwen Wang +4
3D medical image analysis is essential for modern healthcare, yet traditional task-specific models are inadequate due to limited generalizability across diverse clinical scenarios.…
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
Xun Zhu, Ying Hu, Fanbin Mo +2
Multi-modal large language models (MLLMs) have shown impressive capabilities as a general-purpose interface for various visual and linguistic tasks. However, building a unified MLL…
Enhancing elusive clues in knowledge learning by contrasting attention of language models
Jian Gao, Xiao Zhang, Ji Wu +1
Causal language models acquire vast amount of knowledge from general text corpus during pretraining, but the efficiency of knowledge learning is known to be unsatisfactory, especia…
Co-occurrence is not Factual Association in Language Models
Xiao Zhang, Miao Li, Ji Wu
Pretrained language models can encode a large amount of knowledge and utilize it for various reasoning tasks, yet they can still struggle to learn novel factual knowledge effective…
Conditional Language Learning with Context
Xiao Zhang, Miao Li, Ji Wu
Language models can learn sophisticated language understanding skills from fitting raw text. They also unselectively learn useless corpus statistics and biases, especially during f…