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Chasing large token-level teacher-student gaps in agent distillation is largely misguided: local divergence fails to predict task completion, whereas unpenalized minor deviations often trigger catastrophic multi-turn failure.
Emotion recognition in visual intelligence is heavily skewed towards linguistic cues, revealing a critical gap in purely visual affect recognition capabilities.
