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LLMs with similar semantic skills show wildly different economic performance in simulated markets, revealing that reasoning about competition and resource allocation remains a major challenge.
Forget small-scale image editing datasets – this work unleashes a million-scale human preference dataset that unlocks better reward models and boosts text-guided image editing performance.
LLMs maintain a positive attitude even when losing in adversarial board games, yet their gameplay reveals surprising instability in skill execution.
