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University of Modena and Reggio Emilia
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Aligning the least aligned attention heads in MLLMs can yield the most significant performance gains, challenging conventional alignment strategies.
Forget training wheels: RaTA-Tool lets MLLMs pick the right tool for the job in the wild, even if they've never seen it before.
