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cs.AI2026
Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions
Sujung Kim, Seung Hwan Cho, Sangjin Park +1
In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to understand. While large language…
cs.AI2026
Risk Is Not Review Value: Wrong-Answer Exposure Under Bounded Review Budgets
SangJin Park, Myungsub Choi, Jineok Kim +1
LLM assistants often produce more answers than humans can review before users see them. Most evaluations ask whether an answer is wrong, unsupported, or low-confidence. Bounded rev…