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FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
arXiv – CS AI|Xiyuan Zhang, Huihang Wu, Jiayu Guo, Zhenlin Zhang, Yiwei Zhang, Liangyu Huo, Xiaoxiao Ma, Jiansong Wan, Xuewei Jiao, Yi Jing, Jian Xie||6 views
🤖AI Summary
Researchers introduce FIRE, a comprehensive benchmark for evaluating Large Language Models' financial intelligence and reasoning capabilities. The benchmark includes theoretical financial knowledge tests from qualification exams and 3,000 practical financial scenario questions covering complex business domains.
Key Takeaways
- →FIRE benchmark evaluates both theoretical financial knowledge and practical business scenario handling capabilities of LLMs.
- →The benchmark includes questions from recognized financial qualification exams for deep knowledge assessment.
- →Researchers collected 3,000 financial scenario questions with both closed-form and open-ended formats.
- →XuanYuan 4.0 serves as a strong financial-domain baseline model in the comprehensive evaluations.
- →The benchmark questions and evaluation code are publicly released to facilitate future research.
#fire-benchmark#llm-evaluation#financial-ai#xuanyuan-4#financial-reasoning#benchmark-dataset#ai-research
Read Original →via arXiv – CS AI
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