TL;DR of the paper, generated automatically.

Vision-language models can pick up hidden preferences from a teacher, through unrelated data.

• Result: up to about 10 more points for biased students.
• Wording: explanations reused the teacher's words, even when choices matched.
• Trend: transfer can grow with more training data.