Sicheol Sung — accepted AI-conference papers

2025

LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming

Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko

IJCAI 2025

Automated Test Case Generation (ATCG) is crucial for evaluating software reliability, particularly in competitive programming where robust algorithm assessments depend on diverse and accurate test cases. However, existing ATCG methods often fail to meet complex specifications or generate effective c

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2025

TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents

Hyundong Jin, Sicheol Sung, Shinwoo Park, SeungYeop Baik, Yo-Sub Han

EMNLP 2025

The reasoning, writing, text-editing, and retrieval capabilities of proprietary large language models (LLMs) have advanced rapidly, providing users with an ever-expanding set of functionalities. However, this growing utility has also led to a serious societal concern: the over-reliance on LLMs. In p

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