AgenticFinBench: Benchmarking Financial Agents on Diverse Tasks from Real-World Requests
Financial agents are becoming an important class of real-world AI systems. Financial tasks vary widely in type and difficulty, and many are open-ended with no ground-truth answers. However, existing benchmarks neither capture this breadth and open-endedness nor separate grounding from correctness. To bridge this gap, w...
Shu-Wen Zhou, Zi-Yang He, Yu-Xin Rao et al.
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