Machine Learning Algorithms & Natural Language Processing
Oct 4, 2026 · R&D Management
Responding to Reviewer Concerns About Hyperparameter Sensitivity: A Practical Rebuttal Guide
This article explains how to effectively respond to reviewer concerns about hyperparameter sensitivity by providing hyperparameter sweeps, justifying default values via validation sets or efficiency trade-offs, and avoiding test-set tuning, with concrete rebuttal templates and examples.
academic writinghyperparameter sensitivityhyperparameter tuning
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