Right Family, Wrong Skill: Benchmarking Risk Exposure in Agent Skill Retrieval
Jian-Dong Ding, Hong-Lei Ji, Ming Liu et al.
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Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
Machine-learning performance modeling is a uniquely hostile terrain for long-lived software: the assumptions baked into today's abstractions are invalidated by tomorrow's models and systems, forcing perpetual refactoring of performance-modeling frameworks. Meanwhile, AI coding agents have become fast and capable enough...
Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar et al.
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