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TipCoder reveals that generating tailored auxiliary tips can significantly enhance code generation performance by addressing overlooked constraints and edge cases.
Achieving 100x parameter efficiency, LoopWM redefines how we approach long-horizon world modeling by introducing iterative latent depth as a new scaling axis.
Provable adversarial repair of Transformers is now possible beyond the last layer, thanks to a new framework that formulates repair as a tractable convex optimization problem.
