Papers by Jungmin Lee
PROMPRINT: Prompt Fingerprinting via First-Token Response for LLM App Cloning Detection (2026.acl-long)
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| Challenge: | Large Language Model apps are increasingly regarded as intellectual property . cloned apps pose risks of copyright infringement and malicious misuse . |
| Approach: | They propose a fingerprinting approach that optimizes queries that induce the LLM to generate a specific first token associated with the given system prompt. |
| Outcome: | The proposed fingerprinting approach is robust to partial system prompt modifications and effective under injection of adversarial instructions. |
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine (2024.emnlp-industry)
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Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong, Saehun Kim, Keunchan Park, Sarah Cho, Inchang Jeong, Gyohee Nam, Sunghoon Han, Wonil Yang, Jaeho Choi
| Challenge: | Large Language Models excel at understanding the semantic relationships between queries and documents, even with lengthy and complex long-tail queries. |
| Approach: | They propose an efficient label generation pipeline and novel sLLM training methods for both encoder and decoder models. |
| Outcome: | The proposed method improves re-ranking for long-tail queries on a Korean-based search platform. |
Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering (2026.acl-long)
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| Challenge: | Existing approaches to knowledge-intensive visual question answering lack mechanisms to revise misdirected reasoning. |
| Approach: | They propose a framework that progressively constructs a structured reasoning trajectory . they use dual-scope queries to retrieve diverse knowledge from heterogeneous knowledge bases . |
| Outcome: | The proposed framework improves retrieval recall and end-to-end answer accuracy. |