PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning

PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning Medha Jeenoor author Madiha Aziz author Saipriya Dipika Vaidyanathan author Avijit Samantraya author Sandeep Mathias 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 jeenoor-etal-2025-presiuniv https://aclanthology.org/2025.finnlp-1.28/ 2025-01 259 264