Ryang Heo

MS student, Department of Artificial Intelligence, Yonsei University

Joined

February 2024

Names

Ryang Heo (Preferred)

,

RyangHeo

Emails

****@yonsei.ac.kr (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

MS student

Department of Artificial Intelligence, Yonsei University (yonsei.ac.kr)

2024 – Present

Advisors, Relations & Conflicts

Coworker

2023 – Present

PhD Advisor

2023 – Present

Expertise

NLP

2023 – Present

Publications

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang, Dongha Lee
- COLM 2025
- Readers: Everyone
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang, Dongha Lee
- CoRR 2025
- Readers: Everyone
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis
Yongsik Seo, Sungwon Song, Ryang Heo, Jieyong Kim, Dongha Lee
- EMNLP (Findings) 2024
- Readers: Everyone
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee
- CoRR 2024
- Readers: Everyone
Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee
- CoRR 2024
- Readers: Everyone

Co-Authors