LAwF: Efficient LLM Fine-Tuning via Learning Anchors without Forgetting
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Updated
Jun 1, 2026 - Python
LAwF: Efficient LLM Fine-Tuning via Learning Anchors without Forgetting
🧠 Incremental learning experiment using Learning without Forgetting (LwF) in PyTorch - training model new classes (like horse) without forgetting old ones (cow, donkey, sheep).
This project investigates various continual learning methods to mitigate catastrophic forgetting
Diagnostic study of catastrophic forgetting vs. representation bottlenecks in continual learning for abdominal-trauma CT detection (MICAD 2026).
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