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Output format can distort perceived model capabilities, with a 40-point accuracy gain in one format vanishing in another.
Conditioned training outperforms traditional mixed joint training, revealing that the structure of prompts can significantly impact multimodal document understanding performance.
Relying on a single oracle for feedback can inflate perceived gains in LLM test generation by nearly 15 percentage points, masking the true effectiveness of evolution strategies.
