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LLM-based agents can negotiate contracts effectively in low uncertainty, but their performance collapses under high uncertainty, revealing critical flaws in their cooperative capabilities.
Zero-shot VLMs falter at geometric reasoning, with only one out of five models surpassing random performance on basic jigsaw puzzles, revealing a scaling cliff in their capabilities.
