AI-Driven Financial Chart Analysis with Benchmarks: A Domain-Specific Large Language Model Approach

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发表日期：

2025年

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Hyoseok Jang,
Sangchul Lee,
Haneol Cho,
Chansoo Kim

摘要

Since the release of GPT-3.5, Large Language Models (LLMs) have taken a dramatic leap forward, surpassing previous state-of-the-art achievements in tasks such as reading comprehension, code generation, and creative text composition [1, 2].

Since the release of GPT-3.5, Large Language Models (LLMs) have taken a dramatic leap forward, surpassing previous state-of-the-art achievements in tasks such as reading comprehension, code generation, and creative text composition&#xa0;[1, 2].

AI-Driven Financial Chart Analysis with Benchmarks: A Domain-Specific Large Language Model Approach

摘要

Since the release of GPT-3.5, Large Language Models (LLMs) have taken a dramatic leap forward, surpassing previous state-of-the-art achievements in tasks such as reading comprehension, code generation, and creative text composition [1, 2].