Papers by Jieyi Huang

2 papers
Transcribing Vocal Communications of Domestic Shiba lnu Dogs (2023.findings-acl)

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Challenge: a recent study has focused on how animals communicate, but the study has been limited . previous studies have focused on a simple classification problem, requiring a model to get a label .
Approach: They extract Shiba Inu dogs' vocal communications from YouTube videos and translate them into phonetic scripts using a systematic process.
Outcome: The proposed framework produces the first-of-its-kind Shiba Inu vocal communication dataset . it will be useful for future research in zoology and linguistics.
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering (2024.findings-acl)

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Challenge: Existing MVQA models ignore multi-level progressive capabilities due to unspecific data and plain architecture.
Approach: They propose a multi-level visual language model for medical visual question answering (MVQA) which covers multi- level questions and answers as well as reasoning processes from visual clues to semantic cognition.
Outcome: The proposed model outperforms existing medical multimodal large language models on a multi-level instruction dataset and a feature alignment module.

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