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Outlier-aware rotation can halve the rotation cost in quantization while maintaining state-of-the-art performance in LLMs.
Current code similarity metrics miss the forest for the trees, but BehaveSim finally captures *algorithmic* similarity by comparing problem-solving trajectories, unlocking better LLM-based algorithm design and analysis.
