English(EN) Shapley in Context: Explaining Financial Language with Domain Expertise

Shapley值增强了金融领域LLM的可解释性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-01 12:22

研究人员开发了一种新方法，使用Shapley值来解释大型语言模型（LLM）在金融应用中的行为。该方法旨在使LLM的解释与既定的金融领域知识保持一致，以满足高风险金融行业对可解释性的关键需求。实证评估表明，基于Shapley的归因可以提供与金融推理一致的有意义的见解。 AI

影响通过提供特定领域的解释性，增强了LLM在金融领域的信任度和采用率。

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arXiv cs.LG TIER_1 English(EN) · Dangxing Chen, Pengzhan Guo · 2026-07-02 04:00

Shapley在语境中：用领域专业知识解释金融语言

arXiv:2607.00856v1 Announce Type: cross Abstract: In recent years, large language models have achieved remarkable success and have seen growing adoption in financial applications. At the same time, explainability remains critical in finance, a domain characterized by high stakes …
arXiv cs.LG TIER_1 English(EN) · Pengzhan Guo · 2026-07-01 12:22

Shapley在语境中：用领域专业知识解释金融语言

In recent years, large language models have achieved remarkable success and have seen growing adoption in financial applications. At the same time, explainability remains critical in finance, a domain characterized by high stakes and strict regulatory requirements. Although numer…