作者位次 #3/11ACL 2026Findings· Findings of ACL
Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents
Ying He · Zhouhong Gu · Zhecheng Hu · Yubo Zhou · Hao Shen · Jiaqing Liang · Zhaoqian Dai · Ma Shuguang · F. Richard Yu · Yanghua Xiao · Zhixu Li
摘要
Ensuring the accuracy of financial documents is critical for economic analysis, regulatory compliance, and corporate decision-making. Several studies have shown that Large Language Models (LLMs) perform well in many financial tasks, such as stock price movements and financial analytics. However,...