Papers by Jing-Shu Zheng

2 papers
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation (2025.acl-demo)

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Challenge: FlagEvalMM is an evaluation framework designed to assess multimodal models . it is designed to be used for vision-language understanding and generation tasks .
Approach: They propose an evaluation framework that decouples model inference from evaluation through an independent evaluation service.
Outcome: The evaluation framework offers accurate and efficient insights into model strengths and limitations.
FlagEval-Arena: A Side-by-Side Comparative Evaluation Platform for Large Language Models and Text-Driven AIGC (2025.acl-demo)

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Challenge: a new evaluation platform for large language models and text-driven AIGCs is available for free.
Approach: They propose an evaluation platform for side-by-side comparisons of large language models and text-driven AIGC systems.
Outcome: a new evaluation platform for large language models and text-driven AIGC systems is available for free . the platform is more focused on the Chinese language and more models developed by Chinese institutes .

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