Composing Continual Learning Mechanisms Boosts Long-Horizon Memorization in LMs
JohnsHopkins · hf · 2026-09-16
Johns Hopkins researchers show that combining complementary continual learning mechanisms—data, function, and weight anchors—with merged low-rank updates substantially improves long-horizon memorization in language models.
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