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Shanghai AI Laboratory, Zhejiang University
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Models with similar success rates can have drastically different capability profiles, revealing hidden strengths and weaknesses in mobile manipulation tasks.
Fluent demonstrations may mislead robot learning, but a new representation method recovers critical motion insights, boosting performance significantly.
MemDreamer narrows the performance gap with human experts in long video understanding to just 3.7 points while processing only 2% of the full context.