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VACE: Validation-Gated Alternating Co-Evolution of Agent Models and Harnesses
Language model agents can be improved by updating their model weights or refining the harness that guides task execution. These components are coupled: weight updates change how the model uses the harness, while harness updates change the trajectories used for training. We propose VACE, Validation-G
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