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Multi-hop Question Answering on HotPotQA (Task Success, CoT, Latency)

100CoT Match RateTeacher (OPT13B)
61.93671.81881.791.582May 20, 2025

Evaluation results

MethodLinks
Teacher (OPT13B)Teacher Model=N/A, Backbone Architecture=OPT, Model Parameter Size=13B, Distillation Strategy=Teacher2025.0510082.740.74.8
Teacher (LLaMA13B)Teacher Model=N/A, Backbone Architecture=LLaMA, Model Parameter Size=13B, Distillation Strategy=Teacher2025.051008139.94.7
Teacher (Orca2-13B)Teacher Model=N/A, Backbone Architecture=Orca2, Model Parameter Size=13B, Distillation Strategy=Teacher2025.0510084.339.14.6
OPT-13BRole=Teacher2025.05100———
LLaMA-13BRole=Teacher2025.05100———
Teacher (GPT-2-1.5B)Model Scale=1.5B2025.0510078.510.86.2
Structured Agent Distillation (Orca2-7B)Teacher Model=Orca2-13B, Backbone Architecture=Orca2, Model Parameter Size=7B, Distillation Strategy=Structured Agent Distillation2025.0586.578.638.94.7
Structured Agent Distillation (LLaMA-7B)Teacher Model=LLaMA13B, Backbone Architecture=LLaMA, Model Parameter Size=7B, Distillation Strategy=Structured Agent Distillation2025.0584.775.239.84.8
Structured Agent DistillationTeacher Model=LLaMA-13B, Student Model=LLaMA-7B2025.0584.7———
Structured Agent Distillation (OPT-6.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=6.7B, Distillation Strategy=Structured Agent Distillation2025.058473.940.24.9
Structured Agent DistillationTeacher Model=OPT-13B, Student Model=OPT-6.7B2025.0584———
Token-Orca2-7BTeacher Model=Orca2-13B, Backbone Architecture=Orca2, Model Parameter Size=7B, Distillation Strategy=Token-level KD2025.0583.474.8425.1
SeqKD (Orca2-7B)Teacher Model=Orca2-13B, Backbone Architecture=Orca2, Model Parameter Size=7B, Distillation Strategy=SeqKD2025.0582.673.542.55.1
KD (Orca2-7B)Teacher Model=Orca2-13B, Backbone Architecture=Orca2, Model Parameter Size=7B, Distillation Strategy=KD2025.0581.572.443.15.2
Token-LLaMA-7BTeacher Model=LLaMA13B, Backbone Architecture=LLaMA, Model Parameter Size=7B, Distillation Strategy=Token-level KD2025.0581.271.543.25.2
Token-levelTeacher Model=LLaMA-13B, Student Model=LLaMA-7B2025.0581.2———
Structured Agent DistillationModel Scale=760M2025.0580.473.111.76.6
Token-OPT-6.7BTeacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=6.7B, Distillation Strategy=Token-level KD2025.0580.269.742.95.3
Token-levelTeacher Model=OPT-13B, Student Model=OPT-6.7B2025.0580.2———
SeqKD (LLaMA-7B)Teacher Model=LLaMA13B, Backbone Architecture=LLaMA, Model Parameter Size=7B, Distillation Strategy=SeqKD2025.058070.943.65.2
Structured Agent Distillation (OPT-2.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=2.7B, Distillation Strategy=Structured Agent Distillation2025.0579.86741.75
Structured Agent DistillationTeacher Model=OPT-13B, Student Model=OPT-2.7B2025.0579.8———
SeqKD (OPT-6.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=6.7B, Distillation Strategy=SeqKD2025.057968.143.35.4
KD (LLaMA-7B)Teacher Model=LLaMA13B, Backbone Architecture=LLaMA, Model Parameter Size=7B, Distillation Strategy=KD2025.057970.1445.3
KD (OPT-6.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=6.7B, Distillation Strategy=KD2025.0578.167.243.95.4
SeqKDTeacher Model=LLaMA-13B, Student Model=LLaMA-7B2025.0578———
SeqKDTeacher Model=OPT-13B, Student Model=OPT-6.7B2025.0577.1———
KDTeacher Model=LLaMA-13B, Student Model=LLaMA-7B2025.0576.5———
Token-level KDModel Scale=760M2025.0576.469.1127.2
Token-OPT-2.7BTeacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=2.7B, Distillation Strategy=Token-level KD2025.0575.562.945.25.6
Token-levelTeacher Model=OPT-13B, Student Model=OPT-2.7B2025.0575.5———
KDTeacher Model=OPT-13B, Student Model=OPT-6.7B2025.0575.3———
Structured Agent Distillation (OPT-1.3B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=1.3B, Distillation Strategy=Structured Agent Distillation2025.0574.458.543.65.3
Structured Agent DistillationTeacher Model=OPT-13B, Student Model=OPT-1.3B2025.0574.4———
SeqKDModel Scale=760M2025.0574.367.412.37.3
SeqKD (OPT-2.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=2.7B, Distillation Strategy=SeqKD2025.0574.161.3465.6
Structured Agent DistillationModel Scale=340M2025.057465.512.27
KD (OPT-2.7B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=2.7B, Distillation Strategy=KD2025.0573.460.746.55.7
KDModel Scale=760M2025.0573.166.212.67.4
SeqKDTeacher Model=OPT-13B, Student Model=OPT-2.7B2025.0572.3———
Token-level KDModel Scale=340M2025.0570.561.5137.9
KDTeacher Model=OPT-13B, Student Model=OPT-2.7B2025.0570.2———
Token-OPT-1.3BTeacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=1.3B, Distillation Strategy=Token-level KD2025.0569.854.148.56
Token-levelTeacher Model=OPT-13B, Student Model=OPT-1.3B2025.0569.8———
SeqKDModel Scale=340M2025.0569.360.213.48.1
SeqKD (OPT-1.3B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=1.3B, Distillation Strategy=SeqKD2025.0568.452.349.46.2
KDModel Scale=340M2025.0568.358.813.88.2
KD (OPT-1.3B)Teacher Model=OPT13B, Backbone Architecture=OPT, Model Parameter Size=1.3B, Distillation Strategy=KD2025.0567.35150.16.3
Structured Agent DistillationModel Scale=120M2025.0566.252.813.87.8
Token-level KDModel Scale=120M2025.0565.748.314.88.9
SeqKDTeacher Model=OPT-13B, Student Model=OPT-1.3B2025.0565.4———
SeqKDModel Scale=120M2025.0564.247.2159
KDTeacher Model=OPT-13B, Student Model=OPT-1.3B2025.0563.7———
KDModel Scale=120M2025.0563.446.115.39.2