This paper creates a benchmark for testing the ability of AI agents to understand and analyze complex financial documents, and uses it to evaluate the performance of different agents in this task. Practitioners in finance and AI research can care about this work because it aims to improve the accuracy and reliability of financial document analysis.
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This paper introduces a new framework to evaluate the factuality and completeness of long-form generation models, which is essential for ensuring that generated text is accurate and informative. Practitioners in natural language processing and artificial intelligence can benefit from this framework to assess the quality of their models.