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@@ -22,7 +22,7 @@ pretty_name: MCiteBench
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  MCiteBench is a benchmark to evaluate multimodal citation text generation in Multimodal Large Language Models (MLLMs).
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  - Websites: https://caiyuhu.github.io/MCiteBench
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- - Paper: https://arxiv.org/abs/xxxxx
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  - Code: https://github.com/caiyuhu/MCiteBench
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  ## Data Download
@@ -62,4 +62,7 @@ meta_data: [dict] # Additional metadata used during the constructio
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  distractor_contents: [list] # Similar to `evidence_contents`, but contains distractors, which are irrelevant or misleading information
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  question_id: [str] # The ID of the question
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  pdf_id: [str] # The ID of the associated PDF document
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- ```
 
 
 
 
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  MCiteBench is a benchmark to evaluate multimodal citation text generation in Multimodal Large Language Models (MLLMs).
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  - Websites: https://caiyuhu.github.io/MCiteBench
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+ - Paper: https://arxiv.org/abs/2503.02589
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  - Code: https://github.com/caiyuhu/MCiteBench
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  ## Data Download
 
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  distractor_contents: [list] # Similar to `evidence_contents`, but contains distractors, which are irrelevant or misleading information
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  question_id: [str] # The ID of the question
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  pdf_id: [str] # The ID of the associated PDF document
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+ ```
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+
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+ ## Citation
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+ If you find **MCiteBench** useful for your research and applications, please kindly cite using this BibTeX: