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Managerial behavior, not model size or vendor, dictates success in long-term decision-making tasks, as evidenced by the surprising performance of claude-fable-5 in FM-Bench.
The introduction of the CDD-IIE Bench could redefine how we evaluate and compare instruction-based image editing systems.
LLMs, like humans, exhibit a "frequency bias," performing better when prompted and fine-tuned with more common textual expressions.