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Current VLMs falter in their ability to discern trustworthy information from conflicting visual and linguistic inputs, raising questions about their reliability as daily assistants.
Difficulty-aware routing can significantly enhance LLM performance by ensuring that models are matched to queries based on their complexity rather than just surface semantics.
