activity
20242026
collaborators

9 papers

cs.CV2026

MARIC: Multi-Agent Reasoning for Image Classification

Wonduk Seo, Minhyeong Yu, Hyunjin An +1

Image classification has traditionally relied on parameter-intensive model training, requiring large-scale annotated datasets and extensive fine tuning to achieve competitive perfo…

cs.CL2026

EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce

Minhyeong Yu, Wonduk Seo

Product mapping, the task of deciding whether two e-commerce listings refer to the same product, is a core problem for price monitoring and channel visibility. In real marketplaces…

cs.SE2026

Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization

Wonduk Seo, Daye Kang, Hyunjin An +7

Large Language Models (LLMs) have become a cornerstone for automated visualization code generation, enabling users to create charts through natural language instructions. Despite i…

cs.AI2025

Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping

Wonduk Seo, Taesub Shin, Hyunjin An +2

Identifying whether two product listings refer to the same Stock Keeping Unit (SKU) is a persistent challenge in ecommerce, especially when explicit identifiers are missing and pro…

cs.CL2025

Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization

Juhyeon Lee, Wonduk Seo, Hyunjin An +2

Automatic prompt optimization has recently emerged as a strategy for improving the quality of prompts used in Large Language Models (LLMs), with the goal of generating more accurat…

cs.IR2025

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry

Wonduk Seo, Hyunjin An, Seunghyun Lee

Query expansion is widely used in Information Retrieval (IR) to improve search outcomes by supplementing initial queries with richer information. While recent Large Language Model…