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Long-context understanding on LongBench (test) (Including Efficiency Metrics)

71.4FewShot PerformanceQwen3-8B
13.47228.51143.5558.589Oct 10, 2023Mar 18, 2024Aug 26, 2024Feb 3, 2025Jul 14, 2025Dec 22, 2025Jun 1, 2026

Evaluation results

MethodLinks
Qwen3-8BCategory=Naive LLM-FT, Fine-tuned=true2026.0171.443.638.228.3—63.8———————
LongLLMLinguaToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1070.640.746.227.25355.248.83,2833101.6——
LongLLMLinguaTokens constraint=3,000 tokens, Tokens=3283, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0570.640.746.227.25355.248.8——————
EFPCTokens constraint=3,000 tokens, Tokens=3415, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0570.442.946.626.932.559.746.5——————
AdmTreeCategory=Compression-based Methods, Model Scale=7B2026.0169.941.645.930.2—66.8———————
LongLLMLinguaToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1069.839.943.227.45356.748.31,82266.12.6——
LLMLingua-2Tokens constraint=3,000 tokens, Tokens=3392, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0569.635.538.726.321.462.842.2——————
Full CacheModel=LLaMA-3.1-8B-Instruct, Budget=Full2026.0669.45—————49.29————44.3846.54
MOMENTKVModel=LLaMA-3.1-8B-Instruct, Budget=10242026.0669.43—————48.89————44.2846.46
LongLLMLinguaTokens constraint=2,000 tokens, Tokens=1809, Ratio=6x, Evaluator LLM=GPT-3.5-Turbo2026.0569.33942.227.453.856.648——————
MOMENTKVModel=LLaMA-3.1-8B-Instruct, Budget=5122026.0669.13—————48.27————43.4146.17
Ada-KVModel=LLaMA-3.1-8B-Instruct, Budget=10242026.0668.84—————48.3————43.4246.32
SnapKVModel=LLaMA-3.1-8B-Instruct, Budget=10242026.0668.6—————48.3————43.546.11
Ada-KVModel=LLaMA-3.1-8B-Instruct, Budget=5122026.0668.5—————47.55————41.645.6
PyramidKVModel=LLaMA-3.1-8B-Instruct, Budget=10242026.0668.46—————48.09————43.3446.23
MOMENTKVModel=LLaMA-3.1-8B-Instruct, Budget=2562026.0668.42—————47.59————41.9445.9
BeaconCategory=Compression-based Methods2026.0168.440.540.326.8—66.4———————
GPT-CTokens constraint=3,000 tokens, Tokens=3187, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0568.439.940.62748.158.447.1——————
PyramidKVModel=LLaMA-3.1-8B-Instruct, Budget=5122026.0668.23—————47.41————42.5845.55
LongLLMLingua rkToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1068.237.642.926.949.953.446.53,42438.21.9——
Qwen3-4BCategory=Naive LLM-FT, Fine-tuned=true2026.016836.439.328.9—62.7———————
H2OModel=LLaMA-3.1-8B-Instruct, Budget=10242026.0667.81—————48————43.445.84
GPT-CTokens constraint=2,000 tokens, Tokens=1898, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0567.736.338.527.146.353.144.8——————
SnapKVModel=LLaMA-3.1-8B-Instruct, Budget=5122026.0667.6—————47.29————41.7745.36
Ada-KVModel=LLaMA-3.1-8B-Instruct, Budget=2562026.0667.58—————46.79————40.2345.41
EFPCTokens constraint=2,000 tokens, Tokens=1972, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0567.341.742.425.82757.643.6——————
LLMLinguaToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1067.231.837.526.28.353.237.43,42139.21.7——
LLMLinguaTokens constraint=3,000 tokens, Tokens=3421, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0567.231.837.526.28.353.237.4——————
SnapKVCategory=Compression-based Methods2026.0167.138.737.626.2—60.3———————
Original PromptLLM Engine=GPT-3.5-Turbo2023.106739.738.726.537.854.24410,295—15.6———
PyramidKVModel=LLaMA-3.1-8B-Instruct, Budget=2562026.0666.94—————46.01————40.7144.34
MOMENTKVModel=LLaMA-3.1-8B-Instruct, Budget=1282026.0666.73—————46.38————40.1545.11
LLMLingua-2Tokens constraint=2,000 tokens, Tokens=1954, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0566.429.833.125.321.358.939.1——————
LongLLMLingua rkToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1066.337.841.726.95352.446.31,96054.73.3——
Full CacheModel=Qwen3-4B-Instruct-2507, Budget=Full2026.0665.52—————45.13————40.2542.18
Qwen3-4BCategory=Naive LLM2026.0165.525.223.823.1—55.9———————
MOMENTKVModel=Qwen3-4B-Instruct-2507, Budget=10242026.0665.48—————45.38————40.2442.15
Ada-KVModel=Qwen3-4B-Instruct-2507, Budget=10242026.0665.42—————45.33————40.2242.12
SnapKVModel=Qwen3-4B-Instruct-2507, Budget=10242026.0665.28—————45.23————40.1242.05
MOMENTKVModel=Qwen3-4B-Instruct-2507, Budget=5122026.0665.25—————45.45————40.1842.05
VIST2-8BCategory=Ours2026.0165.245.249.830.4—66.5———————
H2OModel=Qwen3-4B-Instruct-2507, Budget=10242026.0665.12—————44.94————40.0241.95
PyramidKVModel=Qwen3-4B-Instruct-2507, Budget=10242026.0665.02—————45.07————39.9541.92
Ada-KVModel=LLaMA-3.1-8B-Instruct, Budget=1282026.0665—————45.03————37.2844.31
Ada-KVModel=Qwen3-4B-Instruct-2507, Budget=5122026.0664.92—————45.1————40.0541.88
MOMENTKVModel=Qwen3-4B-Instruct-2507, Budget=2562026.0664.82—————45.23————39.9541.85
PyramidKVModel=LLaMA-3.1-8B-Instruct, Budget=1282026.0664.5—————44.46————37.4243.98
SnapKVModel=Qwen3-4B-Instruct-2507, Budget=5122026.0664.38—————44.86————39.8541.72
RAGPTokens constraint=3,000 tokens, Tokens=2691, Ratio=4x, Evaluator LLM=GPT-3.5-Turbo2026.0564.243.644.722.762.558.449.3——————
MOMENTKVModel=Qwen3-4B-Instruct-2507, Budget=1282026.0664.18—————44.59————38.6540.72
Ada-KVModel=Qwen3-4B-Instruct-2507, Budget=2562026.0664.15—————44.71————39.6841.42
PyramidKVModel=Qwen3-4B-Instruct-2507, Budget=5122026.0664.05—————44.63————39.6241.55
H2OModel=Qwen3-4B-Instruct-2507, Budget=5122026.0663.78—————44.42————39.5541.42
SnapKVModel=LLaMA-3.1-8B-Instruct, Budget=2562026.0663.71—————45.5————39.2444.47
H2OModel=LLaMA-3.1-8B-Instruct, Budget=5122026.0663.66—————46.08————40.8344.5
SnapKVModel=Qwen3-4B-Instruct-2507, Budget=2562026.0663.52—————44.38————39.2241.15
Ada-KVModel=Qwen3-4B-Instruct-2507, Budget=1282026.0663.48—————43.64————37.5239.85
SBERTToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1063.435.337.426.75134.541.43,39937.72——
OpenAIToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1063.434.538.626.849.637.641.73,421313.31.2——
SBERTTokens constraint=3,000 tokens, Tokens=3399, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0563.435.337.426.75134.541.4——————
OpenAITokens constraint=3,000 tokens, Tokens=3421, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0563.434.538.626.849.637.641.7——————
PyramidKVModel=Qwen3-4B-Instruct-2507, Budget=2562026.0663.1—————44.11————38.8540.88
SnapKVModel=Qwen3-4B-Instruct-2507, Budget=1282026.0662.85—————43.24————36.939.48
PyramidKVModel=Qwen3-4B-Instruct-2507, Budget=1282026.0662.15—————42.9————36.4539.22
RAGPTokens constraint=2,000 tokens, Tokens=1793, Ratio=6x, Evaluator LLM=GPT-3.5-Turbo2026.0562.141.942.722.46257.148.1——————
H2OModel=Qwen3-4B-Instruct-2507, Budget=2562026.0661.85—————43.16————37.1540.02
CPC*Tokens constraint=3,000 tokens, Tokens=3327, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0561.741.246.123.755.850.946.5——————
H2OModel=LLaMA-3.1-8B-Instruct, Budget=2562026.0661.26—————44.28————37.7843.18
LLMLinguaToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1061.222.432.124.510.456.834.61,95055.92.6——
LLMLinguaTokens constraint=2,000 tokens, Tokens=1950, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0561.222.432.124.510.456.834.6——————
VIST2-4BCategory=Ours2026.0160.541.544.228.1—64.9———————
Qwen3-8BCategory=Naive LLM2026.0160.329.124.659.4—42.5———————
SnapKVModel=LLaMA-3.1-8B-Instruct, Budget=1282026.0659.57—————43.21————35.9842.85
CPC*Tokens constraint=2,000 tokens, Tokens=1844, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0558.836.944.823.356.545.644.3——————
H2OModel=LLaMA-3.1-8B-Instruct, Budget=1282026.0658.42—————42.21————34.4441.83
BM25Token constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1057.932.334.325.345.148.940.63,41737.52.1——
BM25Tokens constraint=3,000 tokens, Tokens=3417, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0557.932.334.325.345.148.940.6——————
H2OModel=Qwen3-4B-Instruct-2507, Budget=1282026.0657.2—————40.86————33.8238.15
LongLLMLinguaCategory=Compression-based Methods2026.0155.924.720.326.3—50.1———————
VIST2-0.6BCategory=Ours2026.0154.136.839.525.2—58.4———————
BM25Category=Retrieval-based Methods2026.015428.831.123.8—32———————
SBERTCategory=Retrieval-based Methods2026.0150.418.422.921.6—34.6———————
Zero-shotLLM Engine=GPT-3.5-Turbo2023.1040.715.631.315.61.636.223.5214481.69.8——
OpenAIToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1032.434.336.324.726.324.829.81,991510.41.5——
OpenAITokens constraint=2,000 tokens, Tokens=1991, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0532.434.336.324.726.324.829.8——————
Selective-ContextToken constraint=3,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1023.823.339.22527.553.1323,328350.60.3——
Selective-ContextTokens constraint=3,000 tokens, Tokens=3328, Ratio=3x, Evaluator LLM=GPT-3.5-Turbo2026.0523.823.339.22527.553.132——————
SBERTToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1023.533.835.925.91817.825.81,94754.83.4——
SBERTTokens constraint=2,000 tokens, Tokens=1947, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0523.533.835.925.91817.825.8——————
OpenAICategory=Retrieval-based Methods2026.0122.93019.123.8—51.6———————
BM25Token constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Retrieval-based2023.1019.530.129.421.212.429.123.61,98554.63.4——
BM25Tokens constraint=2,000 tokens, Tokens=1985, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0519.530.129.421.212.429.123.6——————
Selective-ContextToken constraint=2,000, LLM Engine=GPT-3.5-Turbo, Method Category=Compression-based2023.1015.716.234.824.48.449.224.81,925547.10.3——
Selective-ContextTokens constraint=2,000 tokens, Tokens=1925, Ratio=5x, Evaluator LLM=GPT-3.5-Turbo2026.0515.716.234.824.48.449.224.8——————