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University of Vienna
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Multi-agent LLM systems beat single agents not just through diverse opinions, but by dynamically weighting agents based on input-specific competence, turning deliberation into a learned routing mechanism.
Stop wrestling with complex setups: this new benchmark makes evaluating machine unlearning algorithms as easy as running a script.