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Models trained with VBVR-Pro not only excel in a controlled task space but also show significant transferability to external benchmarks, revealing critical insights into visual reasoning mechanisms.
Achieving a 15.4% shift in LLM sycophancy control with a method that ensures predictable and gradual adjustments could redefine user interactions with AI.
