Can llms’ tuning methods work in medical multimodal domain? J Chen, Y Jiang, D Yang, M Li, J Wei, Z Qian, L Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 12 | 2024 |
Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding D Yang, D Xiao, K Li, Y Wang, Z Chen, J Wei, L Zhang arXiv preprint arXiv:2403.05025, 2024 | 10 | 2024 |
Efficiency in focus: Layernorm as a catalyst for fine-tuning medical visual language pre-trained models J Chen, D Yang, Y Jiang, M Li, J Wei, X Hou, L Zhang arXiv preprint arXiv:2404.16385, 2024 | 8 | 2024 |
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications D Yang, J Wei, D Xiao, S Wang, T Wu, G Li, M Li, S Wang, J Chen, ... arXiv preprint arXiv:2405.19266, 2024 | 4 | 2024 |
Improving factuality in large language models via decoding-time hallucinatory and truthful comparators D Yang, D Xiao, J Wei, M Li, Z Chen, K Li, L Zhang arXiv preprint arXiv:2408.12325, 2024 | 2 | 2024 |
Medaide: Towards an omni medical aide via specialized llm-based multi-agent collaboration J Wei, D Yang, Y Li, Q Xu, Z Chen, M Li, Y Jiang, X Hou, L Zhang arXiv preprint arXiv:2410.12532, 2024 | 1 | 2024 |
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation X Hou, M Li, D Yang, J Chen, Z Qian, X Zhao, Y Jiang, J Wei, Q Xu, ... arXiv preprint arXiv:2501.10462, 2025 | | 2025 |
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning M Li, D Yang, Y Liu, S Wang, J Chen, S Wang, J Wei, Y Jiang, Q Xu, ... arXiv preprint arXiv:2411.02793, 2024 | | 2024 |
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Models J Chen, D Yang, Y Jiang, M Li, J Wei, X Hou, L Zhang Proceedings of the 32nd ACM International Conference on Multimedia, 3122-3130, 2024 | | 2024 |