5 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…
MedJudgeRAG: Option-Wise Evidence Judgment with Dynamic Knowledge Graphs for Medical MCQA
Seongwon Seo, Seung Hwan Cho, Young-Min Kim
In medical multiple-choice question answering (MCQA), Retrieval-Augmented Generation (RAG) can supplement the domain knowledge of language models (LMs). However, since vanilla RAG…
Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition
Seung Hwan Cho, Young-Min Kim
Second-language (L2) speech recognition often requires transcriptions of pronunciations and intended meanings. Multi-task learning (MTL) is a natural approach because it assumes th…
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…