Papers by Yeonjoon Lee

2 papers
PLM-based World Models for Text-based Games (2022.emnlp-main)

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Challenge: a new study shows that pre-trained world models provide a strong base for world models . worldformer is a text-based game environment that can be used to learn world models in text-driven games.
Approach: They propose to use pre-trained language models to build world models in text-based game environments.
Outcome: The proposed model outperforms state-of-the-art model-free algorithms in Atari games while retaining sample efficiency.
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.

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