Continual Learning via Self-Probe Gradients
The method, CPLUS, uses self-probe and past-sample gradients to scale down parameter updates that conflict with prior behavior, and becomes more effective as models grow: within the Qwen3 model family, it recovers an increasing share of the forgetting caused by standard fine-tuning.
Dongkyu Cho, R. Chunara, Sung-Min Cha
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