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ResearchFormerly WizWand

Zero-shot NLP Evaluation on Aggregate

60.47Average AccuracyVERSATILEFFN
47.480450.852754.22557.5973Dec 16, 2025
Updated 8mo ago

Evaluation results

MethodLinks
VERSATILEFFNBase Model Params=1.21B, Protocol=Zero-shot2025.1260.47
4-LOOPBase Model Params=1.21B, Protocol=Zero-shot2025.1260.09
6-LOOPBase Model Params=1.21B, Protocol=Zero-shot2025.1260.05
MOEBase Model Params=1.21B, Protocol=Zero-shot2025.1259.65
2-LOOPBase Model Params=1.21B, Protocol=Zero-shot2025.1259.48
VERSATILEFFNBase Model Params=720.81M, Protocol=Zero-shot2025.1257.03
BASEBase Model Params=1.21B, Protocol=Zero-shot2025.1256.74
6-LOOPBase Model Params=720.81M, Protocol=Zero-shot2025.1256.55
4-LOOPBase Model Params=720.81M, Protocol=Zero-shot2025.1256.33
MOEBase Model Params=720.81M, Protocol=Zero-shot2025.1255.87
2-LOOPBase Model Params=720.81M, Protocol=Zero-shot2025.1255.83
BASEBase Model Params=720.81M, Protocol=Zero-shot2025.1253.83
VERSATILEFFNBase Model Params=354.71M, Protocol=Zero-shot2025.1252.33
4-LOOPBase Model Params=354.71M, Protocol=Zero-shot2025.1251.98
6-LOOPBase Model Params=354.71M, Protocol=Zero-shot2025.1251.94
MOEBase Model Params=354.71M, Protocol=Zero-shot2025.1251.48
2-LOOPBase Model Params=354.71M, Protocol=Zero-shot2025.1251.47
BASEBase Model Params=354.71M, Protocol=Zero-shot2025.1247.98