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@@ -47,3 +47,5 @@ In our work, we introduce a new way to evaluate MLMMs for action recognition by
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# Acknowledgments
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We thank the Swiss AI Initiative Project ID a03 from the Swiss National Supercomputing Centre (CSCS); Boehringer Ingelheim Fonds PhD stipend (H.Q.); M.W.M. thanks the Vallee Foundation; M.W.M. and A.M. thank the SNSF by grant No. 320030-227871.
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