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

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Linked challenge
Ablation Study & Optimize GDCN-Final Fusion Agent

Prompt source

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Execute your ablation study, collect the AUC results for the full GDCN-Final Fusion Agent and all ablated versions. Present these results clearly (e.g., in a table or bar chart). Analyze the differences in performance. Which components contribute most significantly to the agent's overall AUC? Discuss potential reasons for your observations, relating them back to the architectural concepts (e.g., noise filtering, diverse representation learning, explicit interaction modeling).

Adaptation plan

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

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.