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University of Notre Dame
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UXBench reveals that LLMs vary dramatically in their ability to produce actionable UX critiques, challenging the assumption of uniform model performance in this domain.
Hallucinations in video models can be mitigated by intelligently patching visual tokens, leading to a 50.60% improvement in response accuracy.