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English(EN) RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation

新的俄罗斯金融基准揭示了大型语言模型的推理差距

研究人员推出了 RusFinChain,这是一个专为评估俄语金融领域可验证思维链推理而设计的新基准。该基准包含 17 个领域中超过 5000 个参数化示例,每个示例都附带一个黄金标准推理链,用于自动验证。对八个开源大语言模型的初步评估显示,其推理能力存在显著差距,模型在步骤对齐方面的 F1 分数约为 0.65,但最终问题的正确回答率仅为 29% 左右。该研究还提出了新的指标——模糊数值对齐和软注意力对齐,与现有的评估方法相比,这些指标与最终答案的正确性显示出更强的相关性。 AI

影响 该基准有望改进俄语用户在金融推理任务中对大型语言模型的评估。

排序理由 该集群描述了一篇介绍大型语言模型推理基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新的俄罗斯金融基准揭示了大型语言模型的推理差距

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该集群描述了一篇介绍大型语言模型推理基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · M. K. Arabov ·

    RusFinChain:一个用于金融领域可验证思维链推理的俄罗斯基准,并附带模糊对齐评估

    arXiv:2607.01388v1 Announce Type: new Abstract: Multi-step symbolic reasoning is essential for robust financial analysis, yet most benchmarks neglect intermediate reasoning steps. FINCHAIN introduced verifiable Chain-of-Thought (CoT) evaluation but is limited to English. FINESSE-…

  2. arXiv cs.CL TIER_1 English(EN) · M. K. Arabov ·

    RusFinChain:一个用于金融领域可验证思维链推理的俄罗斯基准,并附带模糊对齐评估

    Multi-step symbolic reasoning is essential for robust financial analysis, yet most benchmarks neglect intermediate reasoning steps. FINCHAIN introduced verifiable Chain-of-Thought (CoT) evaluation but is limited to English. FINESSE-Bench includes a Russian block but relies on mul…