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Long-context Language Modeling on LongBench v2

29.62AccuracyFoLoRA
27.758428.241728.72529.2083May 28, 2026

Evaluation results

MethodLinks
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=4B2026.0529.62———————
Qwen3-1.7BType=Base Model2026.0529.42———————
LoRA-NullFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy, Calibration model size=4B2026.0529.42———————
LoRAFine-tuning dataset=MetaMathQA2026.0529.22———————
OPLoRAFine-tuning dataset=MetaMathQA2026.0529.02———————
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open2026.0529.02———————
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=1.7B2026.0528.82———————
MiLoRAFine-tuning dataset=MetaMathQA2026.0528.03———————
LoRA-NullFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy2026.0528.03———————
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=0.6B2026.0528.03———————
CorDAFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy2026.0527.83———————
CorDAFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy, Calibration model size=4B2026.0527.83———————
AdmTreeBackbone=LLama-2-7B2025.12—22.919.227.225.62424.223.1
AdmTreeBackbone=Qwen-2-7B2025.12—34.925.633.338.52233.331.9
AutoCompressorBackbone=LLama-2-7B2025.12—3.11.52.60.88.97.23.1
BeaconBackbone=LLama-2-7B2025.12—2014.425.9182221.219.5
BeaconBackbone=Qwen-2-7B2025.12—34.318.429.630.81633.328.3
ICAEBackbone=LLama-2-7B2025.12—4.22.72.13.59.68.54.1
LongLLMLinguaBackbone=LLama-2-7B2025.12—2017.68.62.61611.814.9
LongLLMLinguaBackbone=Qwen-2-7B2025.12—22.319.612.38.513.220.118.1
SnapKVBackbone=LLama-2-7B2025.12—18.115.223.116.218.319.218.1
SnapKVBackbone=Qwen-2-7B2025.12—29.527.228.629.115.327.927.9