Building AI Research Teams for Autonomous Discovery of Linear Attention Architectures

Overview

arXiv:2610.28887v1 Announce Type: new Abstract: Autonomous agents can increasingly propose ideas, modify code, and run experiments, creating an opportunity to accelerate scientific discovery using teams of collaborative AI researchers. To escape local minima in the discovery, we propose to encourage orthogonal exploration by constructing the team using agents with varying expertise. However, realizing this design requires more than diverse backgrounds. When experiments are costly, a team can tes

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