Papers by Dokyong Lee

2 papers
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge (2024.findings-emnlp)

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Challenge: Existing studies focus on image-sharing behavior in singular sessions, leading to limited long-term social interaction.
Approach: They propose a large-scale long-term multi-modal dialogue dataset that generates long-time multi-modity dialogue distilled from ChatGPT and proposed image aligner.
Outcome: The proposed framework generates long-term multi-modal dialogue from ChatGPT and image aligner.
Large Language Models can Share Images, Too! (2024.findings-acl)

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Challenge: Using a zero-shot prompting, large language models can be used to share images in a multi-tasking environment.
Approach: They introduce a dataset that includes enriched annotations and a framework to evaluate LLMs.
Outcome: The proposed framework unlocks image-sharing capability of LLMs in zero-shot prompting, with ChatGPT achieving the best performance.

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