Papers by Weitong Zhang

2 papers
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output (2024.naacl-long)

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Challenge: Multimodal summarization with multimodal output (MSMO) has attracted increasing research interest . evaluation is an emerging yet underexplored research topic .
Approach: They propose a framework that studies three research questions of MSMO evaluation . they propose an automatic evaluation metric and a meta-evaluation benchmark dataset .
Outcome: The proposed evaluation metric and human-annotated meta-evaluation benchmark are used to assess the quality of evaluation metrics and show the framework is effective.
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time (2025.emnlp-main)

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Challenge: Recent advances in Multimodal Large Language Models have raised serious safety concerns.
Approach: They propose a method for manipulating the output preference of MLLMs using a preference hijacked image.
Outcome: The proposed method works at inference time and requires no model modifications.

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