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Demonstrating Fixed-Model Improvement (Within-Model Lift) requires modifying or fine-tuning the model's underlying weights to support the new execution harness.
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Prep Sessions
Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.1 Foundations and Operational Challenges - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Harness Scaling Foundations and Control Design Space - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Related
An engineering team develops an execution harness that significantly improves task performance on a specific model. Next, without modifying or retuning any control logic, they apply that exact harness to the provider's newly released successor model to evaluate whether the performance benefits persist. Which empirical test of harness scaling is being conducted?
Demonstrating Fixed-Model Improvement (Within-Model Lift) requires modifying or fine-tuning the model's underlying weights to support the new execution harness.
What does the Beyond-Benchmark Generalization (Held-Out Task Generalization) test assess in harness scaling evaluations?