EVO-WAM: Evolving World Action Models through Video-Action Verification
EVO-WAM self-improves world action models on unseen robot tasks without new expert demonstrations.
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EVO-WAM self-improves world action models on unseen robot tasks without new expert demonstrations.
Researchers added Greek to the Cosmos3 vision-language-action policy using only machine-rephrased instructions, finding bilingual training reaches roughly two fifths of English performance.
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