Papers by Yeonjoon Jung

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.
Retrieval-augmented Video Encoding for Instructional Captioning (2023.findings-acl)

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Challenge: Instructional videos provide a detailed multimodal context of each procedure in instruction. key-object degeneracy is a problem for machine systems, causing incorrect captions.
Approach: They propose a retrieval-based framework to augment the model representations in the presence of key-object degeneracy.
Outcome: The proposed framework can be extended over baselines using modalities with key-object degeneracy.

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