A recent study, <a href="https://doi.org/10.48550/arXiv.2503.04873" target="_blank" rel="nofollow noopener noreferrer">"Are Large Language Models Good In-Context Learners for Financial Sentiment Analysis?"</a> by Xinyu Wei and Luojia Liu, published as a conference paper at the ICLR 2025 Workshop on Advances in Financial AI, investigates whether modern LLMs can accurately perform financial sentiment analysis through in-context learning rather than traditional fine-tuning. The study evaluates multiple state-of-the-art LLMs, including GPT-4, Claude 3.5, DeepSeek V3, and Llama-3.1, analyzing their effectiveness in classifying financial sentiment without requiring model retraining.
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