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Autonomous Driving Reasoning on DriveLM

81AccuracyDriveMM
22.791237.903153.01568.1269Feb 24, 2026Mar 16, 2026Apr 5, 2026Apr 26, 2026May 16, 2026Jun 5, 2026Jun 26, 2026

Evaluation results

MethodLinks
DriveMMTokens per image=729, Pruning ratio=0%, Base Model=DriveMM2026.068165.44—33.959.1————617419
Prune2DriveTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.068064.92—3458.3————607520
SparseVLMTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067963.74—33.457.4————577319
DivPruneTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067964.67—33.757.9————597421
MVPrunerTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067965.52—34.358.7————617522
MVPrunerTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.067965.41—3458.2————587417
DARTTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067864.02—33.657.2————567318
PACTTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067864.24—33.357.3————567319
DivPruneTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.067864.16—32.757————557317
Prune2DriveTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.067864.52—33.457.4————567416
VGGDriveEvaluation Protocol=Fine-tuned2026.0277.564.7656.6949.7761.26———————
FastVTokens per image=180, Pruning ratio=75%, Base Model=DriveMM2026.067763.95—32.856.6————547215
PACTTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.067664.76—32.956.8————547315
SparseVLMTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.067563.38—32.955.9————527215
I-VL4DriveEvaluation Protocol=Fine-tuned2026.0273.3965.2548.5647.6560.02———————
FSDriveEvaluation Protocol=Fine-tuned2026.0271.7763.4252.7739.1957.12———————
OminiDriveEvaluation Protocol=Fine-tuned2026.027065—3756———————
DARTTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.066964.2—3254.7————517112
FastVTokens per image=72, Pruning ratio=90%, Base Model=DriveMM2026.066863.52—32.354.1————49718
BaselineEvaluation Protocol=Fine-tuned2026.0264.3565.344.934.5454.59———————
TM-LMMEvaluation Protocol=Fine-tuned2026.0259.658.4446.3835.7351.5———————
RoboTronEvaluation Protocol=Zero-shot2026.0252.9451.117.1235.0539.47———————
DriveLMEvaluation Protocol=Fine-tuned2026.0252.355.3545.1335.7347.2———————
GPT-4oEvaluation Protocol=Zero-shot2026.0238.5567.278.972441.21———————
LLAVA-OVEvaluation Protocol=Zero-shot2026.0225.0365.714.4440.9342.36———————
AD-MLLM + CMSafeguard Method=CM2026.05——————58.632.87————
AD-MLLM + RFSafeguard Method=RF2026.05——————58.7832.67————
AD-MLLM + SASafeguard Method=SA2026.05——————60.0835.95————
DriveLMM-o1Params=8B2025.11—————37.05——————
DriveMMPrefilling Latency (ms)=1968, Decoding Latency (ms)=65.3, FLOPs=100%, GPU Peak Memory (GB)=16.47, Throughput (samples/s)=8.12, Pruning Setting=None2026.06————————59.1———
FastVPrefilling Speedup (ms)=340.5(↑5.78×), Decoding Speedup (ms)=63.4(↑1.03×), FLOPs=13.3%, GPU Peak Memory (GB)=15.99, Throughput (samples/s)=5.56(↑1.46×), Pruning Setting=90%2026.06————————55.4———
Gemini1.5-ProParams=–2025.11—————39.92——————
GPT-4oParams=–2025.11—————41.21——————
GUARDADSafeguard Method=GA2026.05——————61.3637.51————
InternVL2-26BParams=38B2025.11—————24.57——————
InternVL2-L-1.5Params=8B2025.11—————29.74——————
MiMo-EmbodiedParams=7B2025.11—————57.85——————
MiMo-VLParams=7B2025.11—————29.76——————
MVPrunerPrefilling Speedup (ms)=395.6(↑4.97×), Decoding Speedup (ms)=51.8(↑1.26×), FLOPs=12.7%, GPU Peak Memory (GB)=15.93, Throughput (samples/s)=5.58(↑1.45×), Pruning Setting=90%2026.06————————58.2———
Prune2DrivePrefilling Speedup (ms)=307.5(↑6.40×), Decoding Speedup (ms)=59.9(↑1.09×), FLOPs=13.4%, GPU Peak Memory (GB)=16.00, Throughput (samples/s)=5.49(↑1.48×), Pruning Setting=90%2026.06————————57.4———
Qwen-VL-MaxParams=–2025.11—————26.99——————
Qwen2-VLParams=7B2025.11—————25.39——————
Qwen2-VLParams=72B2025.11—————29.7——————
RoboTron-DriveParams=8B2025.11—————61.3——————
SparseVLMPrefilling Speedup (ms)=484.7(↑4.06×), Decoding Speedup (ms)=64.0(↑1.02×), FLOPs=14.4%, GPU Peak Memory (GB)=16.00, Throughput (samples/s)=5.88(↑1.38×), Pruning Setting=90%2026.06————————55.9———
Specialist ModelParams=–2025.11—————57——————
Vanilla AD-MLLMSafeguard Method=Vanilla2026.05——————58.3932.47————