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Use the paper's terminology in the lead

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@@ -22,9 +22,10 @@ Representation Learning. EMNLP 2026, main conference.
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  [Paper][paper] 路 [Project page][project] 路 [Code][code]
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- PRISM is a video encoder that embeds a clip by what is happening in it, not by where the
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- camera is. It learns that split by recombining one clip's action with another clip's context
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- in language, where such combinations come free.
 
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  This checkpoint is trained on EgoExo4D, using both ego and exo views and captions generated
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  by Gemini 3.
 
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  [Paper][paper] 路 [Project page][project] 路 [Code][code]
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+ PRISM is a video encoder that captures viewpoint-invariant action semantics, matching the
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+ same action across egocentric and exocentric views. It decomposes each video into
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+ view-invariant and view-variant latents and recomposes them across videos under language
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+ supervision, which stays semantically valid beyond the co-occurrences observed in training.
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  This checkpoint is trained on EgoExo4D, using both ego and exo views and captions generated
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  by Gemini 3.