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KAT-Coder-V2.5 outperforms existing models in agentic tool-use, showcasing a new paradigm for autonomous coding agents within executable environments.
Stop generating text-to-SQL training data that *runs* but is semantically wrong: this new framework finally aligns synthesis with database semantics.
A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
