96 citations · 276 across the 16 of their papers we have counts for
5 papers · 1 filter
FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets
Neng Wang, Hongyang Yang, Christina Dan Wang
In the swiftly expanding domain of Natural Language Processing (NLP), the potential of GPT-based models for the financial sector is increasingly evident. However, the integration o…
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models
Boyu Zhang, Hongyang Yang, Tianyu Zhou +2
Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their t…
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements. Despite the impressive ca…
FinGPT: Open-Source Financial Large Language Models
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
Large language models (LLMs) have shown the potential of revolutionizing natural language processing tasks in diverse domains, sparking great interest in finance. Accessing high-qu…
Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang +6
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environmen…