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Commonsense Reasoning on CommonsenseQA Multiple Client (test)

80.61Client 1 AccuracyGRAD-TRANSFORMER
77.427678.253879.0879.9062May 26, 2026

Evaluation results

MethodLinks
GRAD-TRANSFORMERDescription=Learning to generate updates for LLMs2026.0580.6183.6783.6779.5980.6181.6391.96
PTDescription=Ceiling performance, LLM fine-tuned directly on client data2026.0580.6186.7381.6381.6379.5982.04—
W2SDescription=Weak-to-strong distillation2026.0578.5784.6977.5582.6578.5780.4168.04
ConfDescription=Confidence-based weak-to-strong distillation2026.0578.5785.7175.5180.6180.6180.263.92
VisSupDescription=Weak-to-strong distillation baseline2026.0578.5785.7176.5381.6379.5980.4168.04
PSDescription=TinyLM fine-tuned from the client side2026.0577.5578.5773.4776.5378.5776.94—