Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs

Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs Georg Niess author Houssam Razouk author Stasa Mandic author Roman Kern 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 niess-etal-2025-addressing https://aclanthology.org/2025.finnlp-1.27/ 2025-01 253 258