3 papers
cs.CL2025
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
Hongcheng Ding, Fuzhen Hu, Ruiting Deng +3
Sentiment analysis has become increasingly important for assessing public opinion and informing decision-making. Large language models (LLMs) have revolutionized this field by capt…
q-fin.CP2025
EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
Hongcheng Ding, Xuanze Zhao, Ruiting Deng +2
Accurate forecasting of the EUR/USD exchange rate is crucial for investors, businesses, and policymakers. This paper proposes a novel framework, IUS, that integrates unstructured t…
cs.CL2025
Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
Hongcheng Ding, Xuanze Zhao, Ruiting Deng +3
Sentiment analysis plays a crucial role in various domains, such as business intelligence and financial forecasting. Large language models (LLMs) have become a popular paradigm for…