3 citations · 3 across the 4 of their papers we have counts for
4 papers
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents
Yuanhong Jiang, Jingjie Zou, Rui Jiang +5
Investment competence is inherently personalized: the same market evidence can justify different actions for investors with different goals, horizons, portfolios, and risk boundari…
SGCR: A Specification-Grounded Framework for Trustworthy LLM Code Review
Kai Wang, Bingcheng Mao, Shuai Jia +4
Automating code review with Large Language Models (LLMs) shows immense promise, yet practical adoption is hampered by their lack of reliability, context-awareness, and control. To…
BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
Xin Guo, Rongjunchen Zhang, Guilong Lu +4
Large language models are becoming increasingly significant in financial applications. Nevertheless, prevailing benchmarks are largely dependent on simulated or generic data, which…
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
Yujie Ding, Shuai Jia, Tianyi Ma +4
The remarkable achievements and rapid advancements of Large Language Models (LLMs) such as ChatGPT and GPT-4 have showcased their immense potential in quantitative investment. Trad…