Papers by Changbo Li

1 papers
VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering (2025.coling-main)

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Challenge: Existing methods for video question answering align visual or textual features directly with large language models, limiting the deep semantic association between modalities and hindering a comprehensive understanding of interactions within spatial and temporal contexts.
Approach: They propose a temporal-aware framework for multi-modal video question answering that aligns videos and questions at fine-grained levels.
Outcome: The proposed framework improves reasoning ability and accuracy of videoQA by aligning videos and questions at fine-grained levels.

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