activity
20242026
collaborators

5 papers

cs.DL2026

Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs

Yongsik Seo, Wooseok Jeong, Eunyoung Kim +2

Users of search-augmented LLMs rely on citations as evidence that responses are grounded in real sources, and rarely verify the cited pages themselves. Millions of queries per day…

cs.IR2026

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping

Sunghwan Kim, Ryang Heo, Yongsik Seo +2

The proliferation of e-commerce has made web shopping platforms key gateways for customers navigating the vast digital marketplace. Yet this rapid expansion has led to a noisy and…

cs.CL2025

Can Large Language Models be Effective Online Opinion Miners?

Ryang Heo, Yongsik Seo, Junseong Lee +1

The surge of user-generated online content presents a wealth of insights into customer preferences and market trends. However, the highly diverse, complex, and context-rich nature…

cs.CL2024

Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis

Yongsik Seo, Sungwon Song, Ryang Heo +2

In the domain of Aspect-Based Sentiment Analysis (ABSA), generative methods have shown promising results and achieved substantial advancements. However, despite these advancements,…

cs.CL2024

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy

Jieyong Kim, Ryang Heo, Yongsik Seo +3

In the task of aspect sentiment quad prediction (ASQP), generative methods for predicting sentiment quads have shown promising results. However, they still suffer from imprecise pr…