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Monash University
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Forget costly training or reward models: MATO unlocks personalized LLM alignment by optimizing objective weights *during* generation, offering unprecedented control and adaptability.
Forget bolting vision onto language models – truly powerful multimodal AI demands rethinking architectures from the ground up.
Multi-agent systems can dynamically adapt their communication topology to changing conditions, leading to more robust and accurate performance on complex tasks.