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Instruction Following on Super-Natural Instructions (test)

68.5ROUGE-LMHR
6.51622.60838.754.792Nov 7, 2022May 4, 2023Oct 30, 2023Apr 25, 2024Oct 21, 2024Apr 17, 2025Oct 13, 2025

Evaluation results

MethodLinks
MHRBackbone=T5-XL2022.1168.5
MHR-zBackbone=T5-XL, restricted to routing parameters=true2022.1168
PolyBackbone=T5-XL2022.1167.8
LoRABackbone=T5-XL2022.1167.6
LoRA-bigBackbone=T5-XL2022.1167.2
Poly-zBackbone=T5-XL, restricted to routing parameters=true2022.1164.6
ABKDDistillation Pair=OpenLLaMA2-7B → OpenLLaMA2-3B2025.1039.51
AMiD (Ours)Distillation Pair=OpenLLaMA2-7B → OpenLLaMA2-3B2025.1039.06
PICLParameters=770M2023.0537.6
VanillaICLParameters=2.7B2023.0537.3
DistiLLM (SRKL)Distillation Pair=OpenLLaMA2-7B → OpenLLaMA2-3B2025.1036.82
DistiLLM (SKL)Distillation Pair=OpenLLaMA2-7B → OpenLLaMA2-3B2025.1035.31
MetaICLParameters=770M2023.0535.3
VanillaICLParameters=1.5B2023.0534.9
ExtraLMParameters=770M2023.0534.6
VanillaICLParameters=770M2023.0534.3
LLaMA + PEQA#Params=13B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, Quantization=4-bit2023.0534.1
TAIDDistillation Pair=OpenLLaMA2-7B → OpenLLaMA2-3B2025.1031.93
LLaMA + LoRA#Params=13B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, LoRA configuration=QKVO162023.0531.3
TeacherModel Name=OpenLLaMA2-7B2025.1031.05
Self-SupParameters=770M2023.0530.5
LLaMA + LoRA w/ OPTQ#Params=13B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, LoRA configuration=QKVO16, Quantization=4-bit2023.0529.2
LLaMA + PEQA#Params=7B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, Quantization=4-bit2023.0527.1
LLaMA + LoRA w/ OPTQ#Params=7B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, LoRA configuration=QKVO16, Quantization=4-bit2023.0525
LLaMA + LoRA#Params=7B, Evaluation protocol=Zero-shot, Training dataset=Alpaca, LoRA configuration=QKVO162023.0524.4
LLaMA#Params=7B, Evaluation protocol=Zero-shot, Training dataset=Alpaca2023.059.4
LLaMA#Params=13B, Evaluation protocol=Zero-shot, Training dataset=Alpaca2023.058.9