82 citations · 289 across the 38 of their papers we have counts for
Showing cs.CEShow all
2 papers · 1 filter
cs.CE2025
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
Dannong Wang, Jaisal Patel, Daochen Zha +2
Low-rank adaptation (LoRA) methods show great potential for scaling pre-trained general-purpose Large Language Models (LLMs) to hundreds or thousands of use scenarios. However, the…
cs.CE2024★ 4 cited
Customized FinGPT Search Agents Using Foundation Models
Felix Tian, Ajay Byadgi, Daniel Kim +4
Current large language models (LLMs) have proven useful for analyzing financial data, but most existing models, such as BloombergGPT and FinGPT, lack customization for specific use…