Performance Prediction on WMT En-Fr 2014 (val) benchmark leaderboard · SOTA2 Research

Performance Prediction on WMT En-Fr 2014 (val)

0.28MAELLM-PP

Evaluation Results

Method	Links
LLM-PP2023.10		0.28	0.75
LLM-PP2023.10		0.28	0.75
LLM-PP2023.10		0.3	0.66
LLM-PP2023.10		0.31	0.72
LLM-PP2023.10		0.32	0.71
LLM-PP2023.10		0.32	0.65
LLM-PP2023.10		0.33	0.73
LLM-PP2023.10		0.34	0.68
LLM-Distill-PP2023.10		0.34	0.76
LLM-PP2023.10		0.6	0.34
LLM-PP2023.10		0.82	0.61
LLM-Distill-PP2023.10		1.01	0.79
Layer-wise MoS2023.10		1.16	0.79
Neuron-wise MoS2023.10		1.18	0.87
Supernet (Sandwich)2023.10		1.27	0.78
HAT2023.10		1.59	0.79