Sparse memory modules with KL-based surprising-token selection let retrofitted LLMs acquire new factual knowledge while largely preserving held-out capabilities.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
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Improving Sparse Memory Finetuning
Sparse memory modules with KL-based surprising-token selection let retrofitted LLMs acquire new factual knowledge while largely preserving held-out capabilities.