English

Exploring Fact Memorization and Style Imitation in LLMs Using QLoRA: An Experimental Study and Quality Assessment Methods

Computation and Language 2024-06-14 v1

Abstract

There are various methods for adapting LLMs to different domains. The most common methods are prompting, finetuning, and RAG. In this work, we explore the possibility of adapting a model using one of the PEFT methods - QLoRA. The experiment aims to simulate human responses based on their interviews. The simulation quality is assessed by comparing the quality of the style and the quality of the generated facts.

Keywords

Cite

@article{arxiv.2406.08582,
  title  = {Exploring Fact Memorization and Style Imitation in LLMs Using QLoRA: An Experimental Study and Quality Assessment Methods},
  author = {Eugene Vyborov and Oleksiy Osypenko and Serge Sotnyk},
  journal= {arXiv preprint arXiv:2406.08582},
  year   = {2024}
}

Comments

16 pages, 5 tables

R2 v1 2026-06-28T17:03:42.113Z