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Achieving extreme low-bit compression without lookup tables could revolutionize how we deploy large language models in memory-limited settings.
LongSpace reveals that integrating explicit spatial memory into MLLMs can dramatically enhance their performance on long-horizon tasks, a critical advancement for applications in autonomous navigation.
