EMNLP Findings2023
Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing
Yue Guo, Zian Xu, Yi Yang
Abstract
The emergence of Large Language Models (LLMs), such as ChatGPT, has revolutionized general natural language preprocessing (NLP) tasks. However, their expertise in the financial domain lacks a comprehensive evaluation. To assess the ability of LLMs to solve financial NLP tasks, we present FinLMEval, a framework for Financial Language Model Evaluation, comprising nine datasets designed to evaluate the performance of language models. This study compares the performance of encoder-only language models and the decoderonly language models. Our findings reveal that while some decoder-only LLMs demonstrate notable performance across most financial tasks via zero-shot prompting, they generally lag behind the fine-tuned expert models, especially when dealing with proprietary datasets. We hope this study provides foundation evaluations for continuing efforts to build more advanced LLMs in the financial domain.
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Cited by top-tier papers2
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- Trillion Dollar Words: A New Financial Dataset, Task & Market AnalysisAgam Shah, Suvan Paturi, Sudheer ChavaACL 2023 · 27 citations
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