MLLMs drop from over 85% accuracy on action presence to under 50% on matched action-denial videos, exposing a causal verification gap that causal graph prompts partially close.
C2P : Featuring large language models with causal reasoning
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Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.
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Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.