Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models

• URL: http://arxiv.org/abs/2411.06272v1
• Date: Sat, 09 Nov 2024 20:09:11 GMT
• Title: Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
• Authors: Xiaojun Wu, Junxi Liu, Huanyi Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu, Jiajun Su, Jiajie Zhong, Fuwei Wang, Saizhuo Wang, Fengrui Hua, Jia Li, Jian Guo,
• Abstract summary: "Golden Touchstone" is the first comprehensive bilingual benchmark for financial LLMs. benchmarks include a variety of financial tasks aimed at thoroughly assessing models' language understanding and generation capabilities. We open-sourced Touchstone-GPT, a financial LLM trained through continual pre-training and financial instruction tuning.
• Score: 22.594428755214356
• License:
• Abstract: As large language models become increasingly prevalent in the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. However, existing finance benchmarks often suffer from limited language and task coverage, as well as challenges such as low-quality datasets and inadequate adaptability for LLM evaluation. To address these limitations, we propose "Golden Touchstone", the first comprehensive bilingual benchmark for financial LLMs, which incorporates representative datasets from both Chinese and English across eight core financial NLP tasks. Developed from extensive open source data collection and industry-specific demands, this benchmark includes a variety of financial tasks aimed at thoroughly assessing models' language understanding and generation capabilities. Through comparative analysis of major models on the benchmark, such as GPT-4o Llama3, FinGPT and FinMA, we reveal their strengths and limitations in processing complex financial information. Additionally, we open-sourced Touchstone-GPT, a financial LLM trained through continual pre-training and financial instruction tuning, which demonstrates strong performance on the bilingual benchmark but still has limitations in specific tasks.This research not only provides the financial large language models with a practical evaluation tool but also guides the development and optimization of future research. The source code for Golden Touchstone and model weight of Touchstone-GPT have been made publicly available at \url{https://github.com/IDEA-FinAI/Golden-Touchstone}, contributing to the ongoing evolution of FinLLMs and fostering further research in this critical area.

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