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arXiv Computation and Language By Yan Lin, Jingyu Sun, Zhongliang Guo, Qing Li, Zhuohan Xie, Yuxia Wang

FinExam-10K: When Retrieval Helps Financial Reasoning?

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FinExam-10K is a new English benchmark for financial reasoning, comprising 10,198 expert‑reannotated questions covering CFA Levels I‑III and FRM Parts I‑II. The dataset is split into a 5,110‑question release and a 5,088‑question held‑out set for a quarterly leaderboard, with separate Full‑Coverage and Context‑Complete Reasoning tracks. Across 17 models, the best overall accuracy is 85.29 %, but performance drops on harder subsets, and retrieval‑augmented methods like Function‑Graph‑RAG provide modest gains when gated appropriately.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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