<aside> 📩 [email protected]
</aside>
<aside> <img 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width="40px" /> @yeonjun-in
</aside>
<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/46a01e87-8cf8-4ca8-98b3-f6bc18fbef39/linkedin_480px.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/46a01e87-8cf8-4ca8-98b3-f6bc18fbef39/linkedin_480px.png" width="40px" /> @Yeonjun In
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<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/f30304aa-3449-4968-94ed-4711f30b0b92/icons8-twitter-48.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/36c7f341-a52a-40e5-a549-3fb4133e27fb/f30304aa-3449-4968-94ed-4711f30b0b92/icons8-twitter-48.png" width="40px" /> @yeonjun_in
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I’m Yeonjun In, a Ph.D. candidate in the Industrial and Systems Department at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park. I’m actively on research with my best colleagues at Data Science and Artificial Intelligence Lab :ori:.
I work on building reliable and trustworthy AI for diverse real-world applications, including unstructured and structured data. (1) Model Robustness against Data-Centric Issues In real-world applications, diverse data-centric issues hinder the training of robust AI models. My research addresses this challenge by developing: (a) robust representation learning algorithms, and (b) anomaly detection algorithms.
(2) Harmfulness and Safety of LLMs As the use of LLMs continues to grow, their associated safety risks and harmful use cases have become increasingly evident. My research addresses this challenge by (a) uncovering hidden safety risks in current LLMs and (b) mitigating these risks through LLM alignment.
✔️ Two papers got accepted at EMNLP 2025 (1 Main and 1 Findings). ✔️ New preprint: “R1-Act: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge” ✔️ I received the Outstanding Reviewer (Top 10%) award from KDD 2025 (Aug) and KDD 2025 (Feb). ✔️ I will be joining Adobe Research as a research intern this summer! Looking forward to it! ✔️ Two papers got accepted at NAACL 2025 (1 Main and 1 Findings).
Full publication list: Google Scholar
(*: joint first author)
R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge
Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park
Arxiv. [paper][model][dataset][code]
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey
Md Mehrab Tanjim*, Yeonjun In*, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park
EMNLP 2025. [paper] Collaboration with Adobe Research
