4 papers
LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents
Mingyu Jeon, Bokyeong Kim, Suwan Cho +2
Reviewing nuclear regulatory documents requires multi-hop reasoning across tens of thousands of pages, where judgments depend on evidence assembled across multiple chapters. We fra…
Schema Matching on Graph: Iterative Graph Exploration for Efficient and Explainable Data Integration
Mingyu Jeon, Jaeyoung Suh, Suwan Cho
Schema matching is a critical task in data integration, particularly in the medical domain where disparate Electronic Health Record (EHR) systems must be aligned to standard models…
PPoGA: Predictive Plan-on-Graph with Action for Knowledge Graph Question Answering
MinGyu Jeon, SuWan Cho, JaeYoung Shu
Large Language Models (LLMs) augmented with Knowledge Graphs (KGs) have advanced complex question answering, yet they often remain susceptible to failure when their initial high-le…
How Far Can LLMs Emulate Human Behavior?: A Strategic Analysis via the Buy-and-Sell Negotiation Game
Mingyu Jeon, Jaeyoung Suh, Suwan Cho +1
With the rapid advancement of Large Language Models (LLMs), recent studies have drawn attention to their potential for handling not only simple question-answer tasks but also more…