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Achieving higher success rates and lower energy consumption in robotic manipulation tasks could revolutionize astronaut support systems in spacecraft.
LLMs struggle to adapt to evolving user interests in streaming scenarios, exhibiting a conservative bias that over-emphasizes past interests and misses interest decay.
Current image restoration models still fail to strike the right balance between noise reduction, detail fidelity, and accurate color in real-world, low-light portrait scenarios, highlighting a critical gap this challenge aims to close.
