AnalysisAI ModelsSeptember 8, 2026

Continual learning mechanisms compose for long-horizon memorization

A factorial study combines data, function, and weight anchors with merged low-rank updates, reporting substantial gains in long-horizon memorization for language models. The work targets catastrophic forgetting in continual supervised fine-tuning.

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