most citedFinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2025★ 2 cited

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

Dannong Wang, Daniel Kim, Bo Jin +4

Finetuned large language models (LLMs) have shown remarkable performance in financial tasks, such as sentiment analysis and information retrieval. Due to privacy concerns, finetuni…