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Large-scale structured academic visual data can transform image generation from mere aesthetic appeal to verifiable knowledge-grounded creation.
Achieving superior accuracy-efficiency trade-offs, ParetoPO redefines how tool-integrated agents can be optimized for real-world applications.
Control-flow hallucination isn't a bug鈥攊t's a feature of probabilistic LLMs, and Agentic Programming offers a robust solution.
