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Vision-Language Reasoning on CODA-LM 1.0 (test)

79.8BarrierQwen2.5-VL-7B + Ours
37.6848.61559.5570.485Feb 23, 2026

Evaluation results

MethodLinks
Qwen2.5-VL-7B + OursModel Size=7B, Strategy=Parameter-efficient refinement2026.0279.873.891.764.354.37158.475.4
CODA-LMStrategy=Task-specific finetuned2026.0278.768.886.273.364.978.873.877.7
InternVL3-8B + OursModel Size=8B, Strategy=Parameter-efficient refinement2026.0276.469.385.867.555.173.866.274.2
Qwen2.5-VL-7BModel Size=7B, Strategy=Frozen Baseline2026.0270.962.584.948.852.166.554.667.9
LLaVA-1.5-13B + OursModel Size=13B, Strategy=Parameter-efficient refinement2026.0270.159.687.153.151.473.457.571.2
MPDriveStrategy=Task-specific finetuned2026.027062.877.7——79.57076.1
LLaVA-1.5-7B + OursModel Size=7B, Strategy=Parameter-efficient refinement2026.0268.368.384.961.448.27356.172.8
MiniDriveStrategy=Task-specific finetuned2026.0262.962.884.4——67.43666.3
InternVL3-8BModel Size=8B, Strategy=Frozen Baseline2026.0259.765.573.364.452.366.959.665.4
LLaVA-1.5-13BModel Size=13B, Strategy=Frozen Baseline2026.0240.941.846.358.847.76141.550.8
Jiang et al.Strategy=Training-free2026.0240.341.452.160.845.949.443.146.7
LLaVA-1.5-7BModel Size=7B, Strategy=Frozen Baseline2026.0239.340.254.554.448.848.940.546.5
ControlMLLM++Strategy=Training-free2026.0239.345.45362.246.650.13947