VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025.acl-long)
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| Challenge: | Multimodal large language models (MLLMs) are used for video quality assessment, image captioning and video analysis. |
| Approach: | They propose a benchmark to evaluate MLLMs on AIGC videos using coherence validation, error awareness, error type detection and reasoning evaluation tasks. |
| Outcome: | The proposed benchmark evaluates 13 frontier MLLMs on AIGC videos. |
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