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Matching papers

FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents

7 upvotes · 21 JUL 2026 · Xianfu Cheng, Shiwei Zhang, Jiyu Zhao et al.

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.

agentic reasoningfinancial documentsopen-ended generationquestion-answeringbenchmarking

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

6 upvotes · 21 JUL 2026 · Xilun Chen, Zhaleh Feizollahi, Ross Goodwin et al.

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.

open-ended generationfactual completenessmultimodal evaluationrubric-based assessmentlong-form text generation