Research
科研经历
Exploring the unknown with curiosity.
用好奇心探索未知，用研究思维解决问题。
Research Focus
研究方向Continual Learning for LLMs
大语言模型的持续学习
My research focuses on enabling large language models to continuously acquire new knowledge while preserving previously learned capabilities. I explore methods to mitigate catastrophic forgetting and improve knowledge transfer in lifelong learning scenarios.
我的研究聚焦于让大语言模型在保留已有能力的同时持续获取新知识，探索缓解灾难性遗忘和提升终身学习场景下知识迁移的方法。
Continual LearningCatastrophic ForgettingKnowledge TransferLLM Fine-tuning
Catastrophic Forgetting Mitigation
灾难性遗忘缓解
- Regularization-based methods
- Replay mechanisms
- Parameter isolation strategies
Knowledge Transfer & Consolidation
知识迁移与巩固
- Multi-task learning alignment
- Memory-augmented networks
- Meta-learning approaches
Evaluation & Benchmarking
评估与基准测试
- Long-sequence evaluation protocols
- Cross-domain transfer metrics
- Efficiency-aware benchmarks