8 papers
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…
CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn Prescription
Minjoo Kim, Sangjin Park, Seung Hwan Cho
Churn models typically identify high-risk customers but do not specify which feasible retention action should be considered or why that action is appropriate. We present CARRE (Cou…
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…
MaBERT:A Padding Safe Interleaved Transformer Mamba Hybrid Encoder for Efficient Extended Context Masked Language Modeling
Jinwoong Kim, Sangjin Park
Self attention encoders such as Bidirectional Encoder Representations from Transformers(BERT) scale quadratically with sequence length, making long context modeling expensive. Line…
GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
Jinwoong Kim, Sangjin Park
Multivariate time-series models achieve strong predictive performance in healthcare, industry, energy, and finance, but how they combine cross-variable interactions with temporal d…
MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
Seung Hwan Cho, Yujin Yang, Danik Baeck +4
Recommender systems (RS) are currently being studied to mitigate limitations during cold-start conditions by leveraging modality information or introducing Agent concepts based on…
GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
Minjoo Kim, Jinwoong Kim, Sangjin Park
Recent advances in finance-specific language models such as FinBERT have enabled the quantification of public sentiment into index-based measures, yet compressing diverse linguisti…
IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
Jinwoong Kim, Sangjin Park
The increasing influence of unstructured external information, such as news articles, on stock prices has attracted growing attention in financial markets. Despite recent advances,…