collaborators

7 papers

cs.LG2026

Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes

Mingyu Jeon, Suwan Cho, Jae Young Suh

EEG foundation models report downstream gains, yet their protocols seldom include three controls. These are the same encoder untrained, spectral features fitted on the same data, a…

cs.LG2026

A JEPA Recipe for Tabular Foundation Models

Mingyu Jeon, Suwan Cho, Jae Young Suh

Tabular foundation models learn to predict cell values in context, whereas world-model self-supervision asks for prediction in representation space (LeCun, 2022; Assran et al., 202…

cs.AI2026

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…

cs.CL2026

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…

cs.AI2025

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…

cs.CL2025

DELTA: Language Diffusion-based EEG-to-Text Architecture

Mingyu Jeon, Hyobin Kim

Electroencephalogram (EEG)-to-text remains challenging due to high-dimensional noise, subject variability, and error accumulation in autoregressive decoding. We introduce DELTA, wh…

cs.AI2025

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…