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Implement Ablated Models & Evaluation Framework

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Ablation Study & Optimize GDCN-Final Fusion Agent

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Linked challenge
Ablation Study & Optimize GDCN-Final Fusion Agent

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Original prompt text with formatting preserved for inspection.

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Implement the necessary modifications for each ablation scenario you designed, creating distinct model versions or a configurable model. Ensure each ablated model can be trained and evaluated using the Criteo dataset and your robust AUC evaluation harness. Develop an automated script or framework that orchestrates the training and AUC evaluation for the full agent and each ablated version, collecting and storing the AUC scores for subsequent analysis.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.