Hwan Chang

Graduate Student
Chung-Ang University
Seoul, Korea
email address
github
linkedin
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curriculum vitae
I am a graduate student in the Department of AI at Chung-Ang University, Seoul, Korea, advised by Prof. Hwanhee Lee.

My research focuses on agentic systems, with a current focus on memory design. I am broadly interested in the safety, robustness, and reasoning capabilities of large language models.

For more details, please check my CV, master's defense slides, or reach me via email: hwanchang16@gmail.com

Updates:

Apr 2026: Our Doc-PP has been accepted to ACL 2026 Findings.
Jan 2026: Our ChatInject has been accepted to ICLR 2026.
Dec 2025: Our K-EXAONE has been released! (Model, Technical Report)
Sep 2025: Joined the EXAONE Lab at LG AI Research as a Research Intern.
Aug 2025: Two of our works (CoPriva, OCR Head (Oral)) accepted at EMNLP 2025.

Publications

* Equal Contribution, Corresponding Author

ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
Hwan Chang*, Yonghyun Jun*, Hwanhee Lee
ICLR 2026
PDF| Code

Doc-PP: Document Policy Preservation Benchmark for Large Vision-Language Models
Haeun Jang*, Hwan Chang*, Hwanhee Lee
ACL 2026 Findings
PDF| Abstract| Code

EXAONE 4.5 Technical Report
LG AI Research
Technical Report, 2026
PDF| Abstract| Model

K-EXAONE Technical Report
LG AI Research
Technical Report, 2026
PDF| Abstract| Model

Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
Hwan Chang*, Yumin Kim*, Yonghyun Jun, Hwanhee Lee
EMNLP 2025
PDF| Abstract| Code

How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads
Ingeol Baek, Hwan Chang, Sunghyun Ryu, Hwanhee Lee
EMNLP 2025 (Oral)
PDF| Abstract| Code

Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
Hwan Chang, Hwanhee Lee
ACL 2025 Findings
PDF| Abstract

Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Ingeol Baek, Hwan Chang, Byeongjeong Kim, Jimin Lee, Hwanhee Lee
NAACL 2025 Findings
PDF| Abstract| Code

Preprints

Hallucinate at the Last in Long Response Generation: A Case Study on Long Document Summarization
Joonho Yang, Seunghyun Yoon, Hwan Chang, Byeongjeong Kim, Hwanhee Lee
arXiv, 2025
PDF| Abstract

Leveraging Fine-grained Error Correction in Korean Speech Recognition for Consultation Services
Yonghyun Jun, Jimin Lee, Hwan Chang, Dongho Shin, Seolah Kim, Hwanhee Lee
2025

Experience

  • LG AI Research — Seoul, Korea
    Research Intern @ EXAONE Lab
    Sep 2025 – Dec 2025

Education

  • Chung-Ang University — Seoul, Korea
    M.S. in Department of Artificial Intelligence
    Sep 2024 – Aug 2026
  • Sejong University — Seoul, Korea
    B.S. in Computer Science and Engineering
    Mar 2020 – Aug 2024

Academic Services

Reviewer: NeurIPS 2026, ACL 2026, EMNLP 2025, AAAI 2026, EACL 2026

Teaching

  • Object-Oriented Programming
    Spring 2025
  • Artificial Intelligence Design
    Fall 2024

Research Projects

  • Improvement of Speech Recognition Rate Using LLMs
    Seoul 120 Dasan Call Center
    Detecting and correcting errors of ASR systems for dialogue data with large language models.