作者位次 #2/3ACL 2026Poster· Natural Language Processing
Understanding Structured Financial Data with LLM s: A Case Study on Fraud Detection
Xuwei Tan · Yao Ma · Xueru Zhang
摘要
Detecting fraud in financial transactions typically relies on tabular models that demand heavy feature engineering to handle high-dimensional data and offer limited interpretability, making it difficult for humans to understand predictions. Large Language Models (LLMs), in contrast, can produce h...