Financial NLP

Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs

Demonstrates that traditional machine learning methods combining fundamental data with text embeddings outperform current LLMs at credit rating forecasting, highlighting limitations of LLMs for multimodal financial tasks.

Felix Drinkall, Janet B. Pierrehumbert, Stefan Zohren