Papers by Jeehyun Lee
AMAN: Agent for Mentoring and Assisting Newbies in MMORPG (2025.coling-industry)
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| Challenge: | AMAN is a chatbot designed to help novice gamers learn the gameplay mechanics of online games. |
| Approach: | They propose a model that functions as a human-like chat buddy that interacts with users in a friendly manner while providing substantive informational depth. |
| Outcome: | The proposed model integrates continual pre-training with a sequence of online resources and instruction tuning on curated dialogues. |
Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System (2023.findings-acl)
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| Challenge: | Recent work on end-to-end dialogue models with pre-trained dialogue corpora shows promising performance in the conversational system. |
| Approach: | They propose an end-to-end TOD system with task-optimized adapters which learn independently per task adding only small number of parameters after fixed layers of pre-trained network. |
| Outcome: | The proposed system achieves state-of-the-art performance on the MultiWOZ benchmark compared to existing models. |