Papers by Donghoon Han

1 papers
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline (2024.emnlp-industry)

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Challenge: Recent advances in text-video retrieval neglect the crucial user perspective, leading to discrepancies between user queries and content retrieved.
Approach: They propose a novel, training-free pipeline that leverages Large Language Models for iterative feedback learning.
Outcome: Experimental results show that MERLIN significantly outperforms existing systems in video retrieval.

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