2 papers
q-fin.PR2026
A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective
Olivia Zhang, Zhilin Zhang
Large language models (LLMs) are increasingly deployed in quantitative finance for stock price forecasting. This review synthesizes recent applications of LLMs in this domain, incl…
cs.CL2024
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment
Jie Wang, Yichen Wang, Zhilin Zhang +3
With strong expressive capabilities in Large Language Models(LLMs), generative models effectively capture sentiment structures and deep semantics, however, challenges remain in fin…