1 code implementation • 27 Feb 2024 • Haoran Lai, Qingsong Yao, Zihang Jiang, Rongsheng Wang, ZhiYang He, Xiaodong Tao, S. Kevin Zhou
The advancement of Zero-Shot Learning in the medical domain has been driven forward by using pre-trained models on large-scale image-text pairs, focusing on image-text alignment.
1 code implementation • 2 Feb 2024 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan
We then proposed LLM-Detector, a novel method for both document-level and sentence-level text detection through Instruction Tuning of LLMs.
1 code implementation • 22 Dec 2023 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan
This work is pioneering in the execution of instruction fine-tuning on a sparse expert-mixed model, marking a significant breakthrough in enhancing the capabilities of this model architecture.
1 code implementation • 20 Dec 2023 • Jiaxi Cui, Liuzhenghao Lv, Jing Wen, Rongsheng Wang, Jing Tang, Yonghong Tian, Li Yuan
We present a novel approach for integrating Myers-Briggs Type Indicator (MBTI) personality traits into large language models (LLMs), addressing the challenges of personality consistency in personalized AI.
1 code implementation • 20 Dec 2023 • Rongsheng Wang, Qingsong Yao, Haoran Lai, ZhiYang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou
Despite significant advancements in medical vision-language pre-training, existing methods have largely overlooked the inherent entity-specific context within radiology reports and the complex cross-modality contextual relationships between text and images.
no code implementations • 23 Oct 2023 • Rongsheng Wang, Qi Li, Sihong Xie
Using this observation, we subsequently proposed a new method for AI-generated texts detection based on self-consistency with masked predictions to determine whether a text is generated by LLMs.
1 code implementation • 20 Jul 2023 • Rongsheng Wang, Yaofei Duan, ChanTong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan
General large language models (LLMs) such as ChatGPT have shown remarkable success.