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B-Ins), and VLMs with a thinking mode outperform those with a non-thinking mode (e.g., Kimi-VL-A
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LLM agents can now navigate the vast model zoo of HuggingFace with 6.9x less token consumption and 33% better reasoning, thanks to a new iterative selection framework.
