1 citations · 1 across the 3 of their papers we have counts for
4 papers
Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work
Zihao Wu, Steven Xu, Bowen Chen +8
With the emergence of large language models (LLMs) and AI agent frameworks, the human-AI co-work paradigm known as Vibe Coding is changing how people code, making it more accessibl…
AD-GPT: Large Language Models in Alzheimer's Disease
Ziyu Liu, Lintao Tang, Zeliang Sun +11
Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet their accuracy and depth remain limited in specialized domains such as Alzheimer'…
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions
Luyang Fang, Xiaowei Yu, Jiazhang Cai +23
The exponential growth of Large Language Models (LLMs) continues to highlight the need for efficient strategies to meet ever-expanding computational and data demands. This survey p…
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches
Wei Ruan, Tianze Yang, Yifan Zhou +2
Model merging has achieved significant success, with numerous innovative methods proposed to enhance capabilities by combining multiple models. However, challenges persist due to t…