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Science Question Answering on ScienceQA

99.8AccuracyPhi-4 pass@N (Upper Bound)
87.798490.914294.0397.1458Aug 19, 2024Dec 9, 2024Mar 31, 2025Jul 21, 2025Nov 10, 2025Mar 2, 2026Jun 23, 2026

Evaluation results

MethodLinks
Phi-4 pass@N (Upper Bound)# Sample=-2025.1199.8——————
LongVILA-7B (S3)LLM=Qwen2-7B, Resolution=dynamic2024.0898.5——————
RLHFlow-PRM-Deepseek-Data# Sample=253K2025.1198——————
VanillaBackbone=InternVL-2.5-8B, Token Reduction Ratio=0%2026.0698——————
Qwen2.5-Math-7B-PRM800k# Sample=263K2025.1197.5——————
Qwen2.5-Math-7B-PRM# Sample=860K2025.1197.5——————
GPT-5-highModel Category=Proprietary Models2026.0697.4——————
RLHFlow-PRM-Mistral-Data# Sample=273K2025.1197.3——————
Universal-PRM-Qwen2.5-Math-7B# Sample=690K2025.1196.8——————
Qwen3-VL-32BToken Ratio=100%2026.0596.72——————
Skywork-PRM-1.5B# Sample=Unk2025.1196.6——————
Math-Shepherd-PRM-7B# Sample=440K2025.1196.6——————
CLSE localBackbone=InternVL-2.5-8B, Token Reduction Ratio=66.7%, FFT Type=Local2026.0696.6——————
CLSE globalBackbone=InternVL-2.5-8B, Token Reduction Ratio=66.7%, FFT Type=Global2026.0696.5——————
H4-Qwen2.5-PRM-1.5B-0.2# Sample=369K2025.1196.4——————
FastVBackbone=InternVL-2.5-8B, Token Reduction Ratio=66.7%2026.0696.4——————
CLSE localBackbone=InternVL-2.5-8B, Token Reduction Ratio=77.8%, FFT Type=Local2026.0696.4——————
CLSE globalBackbone=InternVL-2.5-8B, Token Reduction Ratio=77.8%, FFT Type=Global2026.0696.4——————
MiniCPM-v2.6 + HIPPOBackbone=MiniCPM-v2.6, Alignment Strategy=HIPPO2026.0296.33——————
InternVL3.5-38BRatio=100%, Backbone=InternVL3.5-38B2026.0596.2——————
Gemini-2.5-ProModel Category=Proprietary Models2026.0696.2——————
CLSE localBackbone=InternVL-2.5-8B, Token Reduction Ratio=88.9%, FFT Type=Local2026.0695.8——————
Phi-4 pass@1 (Lower Bound)# Sample=-2025.1195.7——————
ReProbe, Attn+Logit, Qwen3-8B-anno# Sample=32K2025.1195.7——————
FastVBackbone=InternVL-2.5-8B, Token Reduction Ratio=77.8%2026.0695.7——————
CLSE globalBackbone=InternVL-2.5-8B, Token Reduction Ratio=88.9%, FFT Type=Global2026.0695.7——————
TVI-CoTModel Category=MLLM-based Chain-of-Thought Methods, Model Scale=8B2026.0695.2——————
MiniCPM-v2.6Backbone=MiniCPM-v2.62026.0295.19——————
Qwen3-VL + DISCO (10K)Backbone=Qwen3-VL, Alignment Strategy=DISCO (10K)2026.0295.09——————
VisionZipRatio=60%, Backbone=InternVL3.5-38B2026.0595.07——————
LLaVA-OneVision-1.5-8BModel Category=Open-Source MLLMs, Model Scale=8B2026.0695——————
F3AToken Ratio=60%2026.0594.97——————
Qwen3-VL + Textual (10K)Backbone=Qwen3-VL, Alignment Strategy=Textual (10K)2026.0294.94——————
F3ARatio=60%, Backbone=InternVL3.5-38B2026.0594.85——————
Qwen3-VLBackbone=Qwen3-VL2026.0294.79——————
Majority Voting# Sample=-2025.1194.6——————
VanillaAverage Token Reduction=0.0%, Backbone=Qwen3-VL-8B2026.0694.5——————
HiP-LoRABackbone=Llama-3.1-8B, Rank (r)=16, k (spectral budget)=32, Number of seeds=32026.0494.05——————
HiP-LoRA (k=32, r=16)Model=Llama-3.1-8B, Merge Status=Before2026.0494.05——————
FastVRatio=60%, Backbone=InternVL3.5-38B2026.0593.8——————
DivPruneRatio=60%, Backbone=InternVL3.5-38B2026.0593.8——————
PiSSABackbone=Llama-3.1-8B, Rank (r)=16, Number of seeds=32026.0493.62——————
PiSSA (r=16)Model=Llama-3.1-8B, Merge Status=Before2026.0493.62——————
FastVToken Ratio=60%2026.0593.54——————
CDPrunerToken Ratio=60%2026.0593.43——————
CDPrunerRatio=60%, Backbone=InternVL3.5-38B2026.0593.41——————
DivPruneRatio=40%, Backbone=InternVL3.5-38B2026.0593.12——————
F3ARatio=40%, Backbone=InternVL3.5-38B2026.0593.12——————
FastVLM-1.7BVision Encoder=FastViTHD, LLM=Qw.2, #Visual Tokens=256, Vis. Enc. Size (M)=125, Evaluation Library=lmms-eval2024.1292.9——————
Full PrecModel=Qwen2.5-VL-32B-Instruct, Bit-width=Full Precision2025.0892.69——————
FastVRatio=40%, Backbone=InternVL3.5-38B2026.0592.54——————
Qwen3-VL-8B-ThinkingStrategy=LongCoT2026.0292.5——————
FastVBackbone=InternVL-2.5-8B, Token Reduction Ratio=88.9%2026.0692.5——————
LoRABackbone=Llama-3.1-8B, Rank (r)=16, Number of seeds=32026.0492.26——————
LoRA(r=16)Model=Llama-3.1-8B, Merge Status=Before2026.0492.26——————
SAPStrategy=SAP2026.0292.2——————
F3AToken Ratio=40%2026.0592.1——————
Proj-LoRABackbone=Llama-3.1-8B, Rank (r)=16, Number of seeds=32026.0492.08——————
Proj-LoRA(r=16)Model=Llama-3.1-8B, Merge Status=Before2026.0492.08——————
Split-LoRA(4×4)Model=Llama-3.1-8B, Merge Status=Before2026.0492——————
VAPO-Thinker-7BModel Category=MLLM-based Chain-of-Thought Methods, Model Scale=7B2026.0692——————
VisionZipRatio=40%, Backbone=InternVL3.5-38B2026.0591.94——————
Qwen3-VL-8B (Baseline)Model Category=Baseline, Model Scale=8B2026.0691.8——————
FP16Spiking=false, Time Step=N/A, Backbone=Qwen2VL-72B2026.0491.67——————
VisionZipToken Ratio=60%2026.0591.48——————
MODIXSize=8B, Backbone=InternVL3.52026.0491.13——————
CDPrunerRatio=40%, Backbone=InternVL3.5-38B2026.0591.1——————
SID-vModel=GLM4.1V2025.1091——————
SID-cModel=GLM4.1V2025.1091——————
CDPrunerToken Ratio=40%2026.0590.97——————
DivPruneToken Ratio=60%2026.0590.92——————
VanillaBackbone=Qwen3-VL-4B-FP8, Flops Ratio Reduction=0%, Precision=FP82026.0490.8——————
ResDecBase Model=Qwen2.5-VL2026.0290.48——————
OPERABase Model=Qwen2.5-VL2026.0290.33——————
VISTABase Model=Qwen2.5-VL2026.0290.23——————
MODIXSize=8B, Backbone=Qwen3-VL2026.0490.16——————
VCDBase Model=Qwen2.5-VL2026.0290.08——————
MADModel=GLM4.1V2025.1090——————
Full PrecModel Backbone=LLaVA-OneVision-7B, Quantization Method=Full Precision, Quantization Bit-width/Group-size=None, Zero-shot=true2025.0889.98——————
Full PrecModel=LLaVA-OneVision-7B, Bit-width=Full Precision2025.0889.98——————
SpikeMLLM (QuaRot+MSTS+TC-LIF)Spiking=true, Time Step=3/4, Backbone=Qwen2VL-72B2026.0489.84——————
InternVL3.5Size=8B, Configuration=Baseline2026.0489.7——————
F3ARatio=20%, Backbone=InternVL3.5-38B2026.0589.7——————
SmolVLM2-2.2BVision Encoder=ViT-SO400M, LLM=SmolLM2, #Visual Tokens=2106*, Vis. Enc. Size (M)=430, Evaluation Library=lmms-eval2024.1289.6——————
Qwen2.5-VL-7BRatio=100%, Backbone=Qwen2.5-VL-7B2026.0589.12——————
InternVL3.5-8BRatio=100%, Backbone=InternVL3.5-8B2026.0589——————
RegularBase Model=Qwen2.5-VL2026.0288.99——————
FastVToken Ratio=40%2026.0588.92——————
GPTQModel Backbone=LLaVA-OneVision-7B, Quantization Method=GPTQ, Quantization Bit-width/Group-size=INT3g128, Zero-shot=true2025.0888.85——————
FastVRatio=20%, Backbone=InternVL3.5-38B2026.0588.81——————
VisionZipToken Ratio=40%2026.0588.81——————
DoLaBase Model=Qwen2.5-VL2026.0288.75——————
VanillaBackbone=Qwen2-VL-7B, Flops Ratio Reduction=0%2026.0488.7——————
VLMQModel Backbone=LLaVA-OneVision-7B, Quantization Method=VLMQ, Quantization Bit-width/Group-size=INT3g128, Zero-shot=true2025.0888.42——————
Qwen3-VLSize=8B, Configuration=Baseline2026.0488.41——————
CDPrunerRatio=20%, Backbone=InternVL3.5-38B2026.0588.41——————
DivPruneRatio=20%, Backbone=InternVL3.5-38B2026.0588.41——————
FP16Backbone=Qwen2.5-VL-7B, Bits=W16A162026.0588.4——————
SpikeMLLM(SQ)Spiking=true, Time Step=255, Backbone=Qwen2VL-72B2026.0488.3——————
Full PrecModel Backbone=Qwen2.5-VL-7B-Instruct, Quantization Method=Full Precision, Quantization Bit-width/Group-size=None, Zero-shot=true2025.0888.26——————