| 1 |
A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks |
提出眼底特异性预训练模型,提升眼科疾病诊断与异常检测性能 |
foundation model |
|
|
| 2 |
Trust-Oriented Adaptive Guardrails for Large Language Models |
提出面向信任的自适应Guardrail机制,提升LLM在不同用户群体的伦理安全性。 |
large language model |
|
|
| 3 |
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression |
提出基于大语言模型(LLM)的点云几何压缩方法LLM-PCGC,显著提升压缩性能。 |
large language model |
|
|
| 4 |
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts |
提出DePrompt框架,用于大语言模型提示词的PII脱敏与有效性评估。 |
large language model |
|
|
| 5 |
Navigating the sociotechnical labyrinth: Dynamic certification for responsible embodied AI |
提出动态认证框架,应对具身AI系统快速发展带来的监管挑战 |
embodied AI |
|
|