Author

Sangjin Park

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#artificial intelligence Preprint Sep 2026

Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions

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 models (LLMs) can translate these outputs into natural language, they may produce errors when inferring numerical changes and feature relat...

Sujung Kim, Seung-Hwan Cho, Sangjin Park et al. · 0 citations

#artificial intelligence Preprint Sep 2026

IMPACT-VLA: Interaction-aware Multimodal Propagation Attribution via Counterfactual Trajectories for Vision-Language-Action Policies

Results reveal when multimodal inputs support task success and how their contributions become conditionally coupled during closed-loop execution and how their contributions become conditionally coupled during closed-loop execution.

Jinwoong Kim, Sangjin Park · 0 citations

#natural language process... Preprint Sep 2026

CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn Prescription

Retrieval ablations show that k=5 provides the best evaluated compromise between high candidate coverage and downstream reasoning agreement in this dataset, illustrating how retrieval, model-based counterfactual scoring, and language generation can be separated and jointly evaluated in a prototype churn-prescription pi...

Minjoo Kim, Sangjin Park, Seung-Hwan Cho · 0 citations