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MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
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MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos Xuehai He †,1 , Weixi Feng* 2 , Kaizhi Zheng* 1 , Yujie Lu* 2 , Wanrong Zhu* 2 , Jiachen Li* 2 , Yue Fan* 1 , Jianfeng Wang 3 , Linjie Li 3 , Zhengyuan Yang 3 , Kevin Lin 3 , William Yang Wang 2 , Lijuan Wang 3 , Xin Eric Wang †,1 , 1 University of California, Santa Cruz, 2 University of California, Santa Barbara, 3 Microsoft, * Equal Contribution †Corresponding to: xhe89@ucsc.edu , xwang366@ucsc.edu Paper dataset Code Leaderboard Hugging Face Leaderboard EvalAI Examples Figure 1. MMWorld covers seven broad disciplines and 69 subdisciplines, focusing on the evaluation of multi-faceted reasoning beyond perception (e.g., explanation, counterfactual thinking, future prediction, domain expertise). On the right is a video sample from the Health & Medicine dis...
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