activity
20222024
most citedPIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

43 citations · 91 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG20244 cited

HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection

Yuxin Wang, Duanyu Feng, Yongfu Dai +5

Data serves as the fundamental foundation for advancing deep learning, particularly tabular data presented in a structured format, which is highly conducive to modeling. However, e…

cs.CL20241 cited

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan +8

Despite Spanish's pivotal role in the global finance industry, a pronounced gap exists in Spanish financial natural language processing (NLP) and application studies compared to En…

cs.CL20233 cited

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models

Chenhan Yuan, Qianqian Xie, Jimin Huang +1

Temporal reasoning is a crucial NLP task, providing a nuanced understanding of time-sensitive contexts within textual data. Although recent advancements in LLMs have demonstrated t…

cs.CL202343 cited

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…

cs.CL202324 cited

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…

q-fin.CP20231 cited

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…