Papers by Feihong Lu

2 papers
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph (2024.lrec-main)

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Challenge: Existing methods for multimodal named entity recognition are limited due to limited resources.
Approach: They propose a Few-shot Multimodal Named Entity Recognition task to address these relation types by constructing a multimodal graph and a new multimodal causal intervention strategy.
Outcome: The proposed model improves on two multimodal named entity recognition datasets.
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences (2024.acl-long)

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Challenge: Multimodal Large Language Models (MLLMs) have demonstrated proficiency in handling a variety of visual-language tasks, but their ability to extrapolate from image sequences has been less investigated.
Approach: They propose a new benchmark to assess MLLMs’ sequential image reasoning abilities.
Outcome: The proposed benchmark features 4,761 diverse image sequences with varying lengths.

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