43 citations · 77 across the 9 of their papers we have counts for
5 papers · 1 filter
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Qianqian Xie, Weiguang Han, Xiao Zhang +4
Although large language models (LLMs) has shown great performance on natural language processing (NLP) in the financial domain, there are no publicly available financial tailtored…
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
Wenjie Xu, Ben Liu, Miao Peng +2
Temporal Knowledge graph completion (TKGC) is a crucial task that involves reasoning at known timestamps to complete the missing part of facts and has attracted more and more atten…
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges
Qianqian Xie, Weiguang Han, Yanzhao Lai +2
Recently, large language models (LLMs) like ChatGPT have demonstrated remarkable performance across a variety of natural language processing tasks. However, their effectiveness in…
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning
Weiguang Han, Jimin Huang, Qianqian Xie +3
Although pair trading is the simplest hedging strategy for an investor to eliminate market risk, it is still a great challenge for reinforcement learning (RL) methods to perform pa…
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning
Weiguang Han, Boyi Zhang, Qianqian Xie +3
Pair trading is one of the most effective statistical arbitrage strategies which seeks a neutral profit by hedging a pair of selected assets. Existing methods generally decompose t…