The FinBen: An Holistic Financial Benchmark for Large Language Models

2 code implementations • 20 Feb 2024 • Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

This along with the rapid development of LLMs, highlights the urgent need for a systematic financial evaluation benchmark for LLMs.

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

2 code implementations • 23 Nov 2023 • Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah

Addressing this, we introduce \textsc{FinMem}, a novel LLM-based agent framework devised for financial decision-making.

Decision Making Language Modelling +2

TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance

no code implementations • 7 Sep 2023 • Yang Li, Yangyang Yu, Haohang Li, Zhi Chen, Khaldoun Khashanah

In financial trading contexts, LLMs serve as the decision core for trading agents, leveraging their layered memory system to integrate multi-source historical actions and market insights.

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