1 citations · 2 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
Hyunjn An, Yongwon Kim, Wonduk Seo +5
While many tools are available for designing AI, non-experts still face challenges in clearly expressing their intent and managing system complexity. We introduce AIAP, a no-code p…
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…
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…
Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
Taehan Kim, Wonduk Seo
Global climate change has reduced crop resilience and pesticide efficacy, making reliance on synthetic pesticides inevitable, even though their widespread use poses significant hea…
GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
Wonduk Seo, Haojie Zhang, Yueyang Zhang +6
Query reformulation is a well-known problem in Information Retrieval (IR) aimed at enhancing single search successful completion rate by automatically modifying user's input query.…