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K RL data, SimpleSearch-VL improves Qwen3-VL agentic baselines by 15.8 and 16.0 average points for the
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SimpleSearch-VL achieves a remarkable 15.8-point boost in agentic search performance with minimal data, challenging the need for larger models or extensive training.
Clinical agents face a staggering 62.3% accuracy ceiling in complex EHR reasoning, revealing significant gaps in current AI capabilities.
SlimSearcher cuts tool-call rounds by up to 58% without sacrificing accuracy, redefining efficiency in web agent training.
Forget static user profiles – LATTE forecasts where a user's preferences are *going*, not just where they've been, boosting personalized LLM generation.
