I am an incoming Ph.D. student at the KAIST, Korea, advised by Prof. Hwanjun Song.

My research focuses on agentic systems, with a current focus on /goal. 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:

Aug 2026: Our Multi-Genre Collection has been accepted to CIKM 2026 and the ICML 2026 Human-AI Co-Creativity Workshop.
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

Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion
Hwan Chang, Yongil Kim, Heuiyeen Yeen, Yireun Kim, Jinsik Lee, Hwanhee Lee
CIKM 2026
PDF

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

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
AACL-IJCNLP 2026
PDF| Abstract

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

Leveraging Fine-grained Error Correction in Korean Speech Recognition for Consultation Services
Yonghyun Jun, Jimin Lee, Hwan Chang, Dongho Shin, Seolah Kim, Hwanhee Lee
Engineering Applications of Artificial Intelligence (EAAI)

Technical Reports

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

Experience

  • Korea Advanced Institute of Science and Technology (KAIST) — Daejeon, Korea
    Visiting Researcher
    Advisor: Hwanjun Song
    Jul 2026 – Feb 2027
  • LG AI Research — Seoul, Korea
    Research Intern @ EXAONE Lab
    Sep 2025 – Dec 2025

Education

  • Korea Advanced Institute of Science and Technology (KAIST) — Daejeon, Korea
    Ph.D. Student
    Mar 2027 –
  • 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: ICLR 2027, NeurIPS 2026, ACL 2026, EMNLP 2025, AAAI 2026, EACL 2026

Teaching

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