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Expert design guidance nearly doubles LLM agent speedups for GPU kernel generation, yet agents still miss critical low-level optimizations.
EDA not only corrects the current memory write but also actively removes outdated information, leading to superior performance in long-context scenarios.
MTP acceptance rates can be dramatically improved by addressing entropy fluctuations, leading to up to 1.8x faster RL training.
Video Transformers can achieve near-full attention accuracy with significantly less compute by focusing only on informative vertical vectors.