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University of Notre Dame
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Model collapse isn't just about performance loss; it can polarize competence, but KITE offers a solution that ensures consistent improvement in LLMs.
Continuous tracking of dynamic object evidence can transform MLLMs' ability to understand and interact with dynamic environments.
LLMs show significant variability in the actionability of their UX critiques, with some models outperforming others across different product categories.
