How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Ablations show state-of-the-art MLE-agent harnesses offer no advantage over one minimal coding-agent session when the frontier LLM backbone and time budget are equal.
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Stories tagged #ablation-study
ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning
ALPINE is an ultra-lightweight few-shot image classifier that beats Prototypical Networks, Relation Networks, and MAML with 27-53% fewer parameters.
The Model Proposes, the Code Disposes: A Pre-Registered Ablation of a Verifier-and-Acceptance Stage in an LLM-Orchestrated Offensive-Security Agent
Pre-registered ablation finds a model verifier stage in an LLM offensive-security agent suppresses findings; removing it eliminated suppression with precision tradeoff.