GORP jointly trains LoRA and full-rank parameters inside a low-rank gradient subspace built from Adam first moments, reporting higher average accuracy and lower forgetting than O-LoRA and N-LoRA on LLM continual learning benchmarks.
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Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
GORP jointly trains LoRA and full-rank parameters inside a low-rank gradient subspace built from Adam first moments, reporting higher average accuracy and lower forgetting than O-LoRA and N-LoRA on LLM continual learning benchmarks.