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papersSEP 10 04:00 UTC

Paper Personalizes Small Language Models with Individual Text Corpora via RAG and DoRA Fine-Tuning

A new arXiv paper takes a cognitive-simulation approach to episodic and semantic memory by feeding text from a web-crawled individual text corpus into small language models. The authors compare retrieval-augmented generation against DoRA fine-tuning for encoding personal knowledge, evaluating performance on multiple-choice question answering.

arXivDoRAepisodic memoryfine-tuningretrieval-augmented generationsmall-language-models

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