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

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

collaborators

2 papers

quant-ph2025

Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations

Zhiyuan Wang, Chunlin Feng, Christopher Poon +5

Quantum computing promises advantages over classical computing. The manufacturing of quantum hardware is in the infancy stage, called the Noisy Intermediate-Scale Quantum (NISQ) er…

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…