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标题为英语A Controlled LLM Workflow for Evidence-Grounded Diagnosis of Risk Score Differences

arXiv:2610.23962v1 Announce Type: new Abstract: We propose a controlled Large Language Model (LLM) workflow for explaining risk score differences using similar historical transactions. The workflow combines reference retrieval and contrastive SHapley Additive exPlanations (SHAP)…

arXiv — cs.AI作者: Hanqing Dou, Zijia Cao2026年10月20日 (18小时前)
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  • arXiv:2610.23962v1 Announce Type: new Abstract: We propose a controlled Large Language Model (LLM) workflow for explaining risk score differences using similar historical transactions
  • The workflow combines reference retrieval and contrastive SHapley Additive exPlanations (SHAP)…
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A Controlled LLM Workflow for Evidence-Grounded Diagnosis of Risk Score Differences

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