Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning

ArXi:2505.15467v2 Announce Type: replace-cross Large language models have achieved remarkable success in various tasks. However, it is challenging for them to learn new tasks incrementally due to catastrophic forgetting. Existing approaches rely on experience replay, optimization constraints, or task differentiation, which encounter strict limitations in real-world scenarios. To address these issues, we propose Joint Flashback Adaptation. We first