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

Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs Felix Drinkall author Janet B Pierrehumbert author Stefan Zohren author 2025-01 text Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal) Chung-Chi Chen editor Antonio Moreno-Sandoval editor Jimin Huang editor Qianqian Xie editor Sophia Ananiadou editor Hsin-Hsi Chen editor Association for Computational Linguistics Abu Dhabi, UAE conference publication drinkall-etal-2025-forecasting https://aclanthology.org/2025.finnlp-1.11/ 2025-01 118 133