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University of Electronic Science and Technology of China, Sichuan Province
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CAT enables Large Reasoning Models to intelligently balance efficiency and accuracy, compressing confident responses while thoroughly processing uncertain queries.
Current judge models for instruction-following are surprisingly unreliable, but a new benchmark exposes their flaws and offers a path to better alignment.
