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Inference Efficiency on Natural Questions (NQ)

0.019Relative Overhead (%)Perplexity
-16.0036892.14941200.3025308.45559Mar 20, 2026

Evaluation results

MethodLinks
PerplexityModel=Llama-3-8B2026.030.019———
PerplexityModel=Mistral-7B2026.030.021———
PerplexityModel=Llama-2-7B2026.030.023———
PerplexityModel=Qwen2.5-14B2026.030.024———
PerplexityModel=Qwen2.5-3B2026.030.039———
PerplexityModel=Qwen2.5-7B2026.030.047———
STCModel=Llama-2-7B2026.030.529———
STCModel=Mistral-7B2026.030.905———
STCModel=Llama-3-8B2026.031.734———
STCModel=Qwen2.5-14B2026.031.974———
STCModel=Qwen2.5-7B2026.031.975———
STCModel=Qwen2.5-3B2026.032.564———
P(True)Model=Llama-2-7B2026.037.275———
tokenSARModel=Llama-2-7B2026.038.881———
P(True)Model=Qwen2.5-3B2026.039.225———
tokenSARModel=Qwen2.5-14B2026.039.642———
P(True)Model=Qwen2.5-14B2026.039.96———
P(True)Model=Llama-3-8B2026.0312.408———
P(True)Model=Qwen2.5-7B2026.0312.961———
P(True)Model=Mistral-7B2026.0314.072———
tokenSARModel=Llama-3-8B2026.0314.811———
tokenSARModel=Qwen2.5-3B2026.0318.625———
tokenSARModel=Mistral-7B2026.0319.153———
tokenSARModel=Qwen2.5-7B2026.0319.461———
CCPModel=Llama-2-7B2026.0362.049———
CCPModel=Qwen2.5-14B2026.0365.755———
CCPModel=Llama-3-8B2026.03112.903———
CCPModel=Mistral-7B2026.03121.913———
CCPModel=Qwen2.5-7B2026.03125.266———
CCPModel=Qwen2.5-3B2026.03133.458———
DegModel=Qwen2.5-7B2026.03202.916———
EigVModel=Qwen2.5-7B2026.03203.016———
EccModel=Qwen2.5-7B2026.03203.027———
Eigen ScoreModel=Qwen2.5-7B2026.03203.793———
ConUModel=Qwen2.5-7B2026.03204.196———
Predictive EntropyModel=Qwen2.5-7B2026.03235.837———
LN EntropyModel=Qwen2.5-7B2026.03235.861———
Predictive EntropyModel=Llama-2-7B2026.03239.879———
LN EntropyModel=Llama-2-7B2026.03239.893———
DegModel=Llama-2-7B2026.03241.472———
EigVModel=Llama-2-7B2026.03241.534———
EccModel=Llama-2-7B2026.03241.597———
ConUModel=Llama-2-7B2026.03242.183———
Eigen ScoreModel=Llama-2-7B2026.03245.668———
Semantic EntropyModel=Llama-2-7B2026.03248.064———
sentenceSARModel=Llama-2-7B2026.03248.886———
Semantic EntropyModel=Qwen2.5-7B2026.03253.757———
sentenceSARModel=Qwen2.5-7B2026.03255.208———
ConUModel=Qwen2.5-3B2026.03258.312———
DegModel=Qwen2.5-3B2026.03262.121———
EccModel=Qwen2.5-3B2026.03262.264———
EigVModel=Qwen2.5-3B2026.03262.375———
Eigen ScoreModel=Qwen2.5-3B2026.03264.787———
DegModel=Qwen2.5-14B2026.03268.258———
EccModel=Qwen2.5-14B2026.03268.32———
EigVModel=Qwen2.5-14B2026.03268.4———
ConUModel=Qwen2.5-14B2026.03269.439———
DegModel=Llama-3-8B2026.03273.079———
EigVModel=Llama-3-8B2026.03273.189———
EccModel=Llama-3-8B2026.03273.193———
ConUModel=Llama-3-8B2026.03273.873———
Predictive EntropyModel=Qwen2.5-14B2026.03279.658———
LN EntropyModel=Qwen2.5-14B2026.03279.672———
SARModel=Llama-2-7B2026.03280.809———
Eigen ScoreModel=Qwen2.5-14B2026.03282.511———
DegModel=Mistral-7B2026.03285.05———
EigVModel=Mistral-7B2026.03285.145———
EccModel=Mistral-7B2026.03285.163———
Eigen ScoreModel=Llama-3-8B2026.03286.073———
Predictive EntropyModel=Mistral-7B2026.03286.607———
LN EntropyModel=Mistral-7B2026.03286.63———
ConUModel=Mistral-7B2026.03287.006———
Semantic EntropyModel=Qwen2.5-14B2026.03289.045———
sentenceSARModel=Qwen2.5-14B2026.03290.34———
Predictive EntropyModel=Qwen2.5-3B2026.03298.737———
LN EntropyModel=Qwen2.5-3B2026.03298.766———
Eigen ScoreModel=Mistral-7B2026.03300.083———
Predictive EntropyModel=Llama-3-8B2026.03302.765———
LN EntropyModel=Llama-3-8B2026.03302.789———
Semantic EntropyModel=Mistral-7B2026.03303.529———
sentenceSARModel=Mistral-7B2026.03305.668———
sentenceSARModel=Qwen2.5-3B2026.03320.224———
Semantic EntropyModel=Llama-3-8B2026.03321.96———
SARModel=Qwen2.5-7B2026.03322.149———
sentenceSARModel=Llama-3-8B2026.03322.955———
Semantic EntropyModel=Qwen2.5-3B2026.03323.831———
SARModel=Qwen2.5-14B2026.03328.14———
SARModel=Llama-3-8B2026.03379.607———
SARModel=Mistral-7B2026.03384.133———
SARModel=Qwen2.5-3B2026.03400.586———
COCOMTop-k=1, Backbone=Mistral-7B-Instruct2026.01—4882,346138
ICAETop-k=1, Backbone=Mistral-7B-Instruct2026.01—8413,731169
LLM (w/o RAG)Top-k=1, Backbone=Mistral-7B-Instruct2026.01—1,0961,18847
LLM (with RAG)Top-k=1, Backbone=Mistral-7B-Instruct2026.01—1,0923,18660
LLM (with RAG*)Top-k=1, Backbone=Mistral-7B-Instruct2026.01—1,3963,00169
LLM (with RAG*)Top-k=5, Backbone=Mistral-7B-Instruct2026.01—1,53710,811165
LLMLingua-2Top-k=1, Backbone=Mistral-7B-Instruct2026.01—9212,43184
PISCOTop-k=1, Backbone=Mistral-7B-Instruct2026.01—5022,251142
RECOMPTop-k=1, Backbone=Mistral-7B-Instruct2026.01—7542,10198
SeleComTop-k=1, Backbone=Mistral-7B-Instruct2026.01—5351,16649