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Long-context Modeling Efficiency on InfiniteBench

9Decoding SpeedupLAVA
0.84642.96325.087.1968Mar 31, 2026Apr 10, 2026Apr 20, 2026Apr 30, 2026May 10, 2026May 20, 2026May 31, 2026

Evaluation results

MethodLinks
LAVA2026.0390.010.6
Hybrid Verified DecodingTarget Model=Qwen3-4B, Reference Baseline=Greedy Decoding2026.055.53——
Hybrid Verified DecodingTarget Model=Qwen3-8B, Reference Baseline=Greedy Decoding2026.055.03——
Hybrid Verified DecodingTarget Model=Qwen3-8B, Reference Baseline=SuffixDecoding2026.053.04——
Hybrid Verified DecodingTarget Model=Llama3.1-8B, Reference Baseline=Frequency-Based Hybrid Decoding2026.052.94——
Hybrid Verified DecodingTarget Model=Llama3.1-8B, Reference Baseline=EAGLE32026.052.84——
Hybrid Verified DecodingTarget Model=Qwen3-4B, Reference Baseline=EAGLE32026.052.51——
Hybrid Verified DecodingTarget Model=Qwen3-8B, Reference Baseline=EAGLE32026.052.42——
Hybrid Verified DecodingTarget Model=Qwen3-4B, Reference Baseline=SuffixDecoding2026.052.4——
Hybrid Verified DecodingTarget Model=Llama3.1-8B, Reference Baseline=Greedy Decoding2026.052.23——
Hybrid Verified DecodingTarget Model=Llama3.1-8B, Reference Baseline=SuffixDecoding2026.051.47——
Hybrid Verified DecodingTarget Model=Qwen3-8B, Reference Baseline=Frequency-Based Hybrid Decoding2026.051.21——
Hybrid Verified DecodingTarget Model=Qwen3-4B, Reference Baseline=Frequency-Based Hybrid Decoding2026.051.16——