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3D Object Classification on ModelNet40 (test) (Prompt-based Evaluation)

62.4Accuracy (I prompt)PointLLM-R-7B
15.880827.957940.03552.1121Aug 31, 2023Feb 12, 2024Jul 27, 2024Jan 9, 2025Jun 23, 2025Dec 6, 2025May 21, 2026

Evaluation results

MethodLinks
PointLLM-R-7Bzero-shot=true, parameters=7B, protocol=PointLLM2026.0562.461.6—
MiniGPT-3DLLM Size=2.7B, 3D Data Size=730K, Input=Point Cloud2026.0261.9960.4961.24
MiniGPT-3DLLM Size=2.7B, Trainable Params=0.05B (47.8M), Input=3D Point Cloud2024.0561.7559.9760.86
PointAlignLLM Size=2.7B, 3D Data Size=730K, Input=Point Cloud2026.0261.5560.7861.17
MiniGPT-3Dzero-shot=true, protocol=PointLLM2026.0557.4957.63—
PointLLM-13Bzero-shot=true, parameters=13B, protocol=PointLLM2026.0553.7953.99—
PointLLM-7BLLM Size=7B, Trainable Params=7.01B, Input=3D Point Cloud2024.0553.4451.8252.63
PointLLM-7BInput=3D Point Cloud, Zero-shot=true2023.0853.4451.8252.82
PointLLM-7Bzero-shot=true, parameters=7B, protocol=PointLLM2026.0553.2453.42—
PointLLM-13BLLM Size=13B, Trainable Params=13.01B, Input=3D Point Cloud2024.055352.5552.78
PointLLM-13BInput=3D Point Cloud, Zero-shot=true2023.085352.5553.39
Point-Bind LLMLLM Size=7B, Input=3D Point Cloud2024.0551.939.7145.81
Point-Bind LLMInput=3D Point Cloud, Zero-shot=true2023.0851.939.7125.53
PointLLM-13BLLM Size=13B, 3D Data Size=730K, Input=Point Cloud2026.0251.752.6752.19
PointLLM-7BLLM Size=7B, 3D Data Size=730K, Input=Point Cloud2026.0251.3450.3650.85
Point-Bind LLMLLM Size=7B, 3D Data Size=-, Input=Point Cloud2026.0246.645.0245.81
LLAVA-7BLLM Size=7B, Trainable Params=7.03B, Input=Single-V. Img.2024.0539.7539.6739.71
LLaVA-7BInput=Single-V. Img., Zero-shot=true2023.0839.7539.6744.86
LLAVA-13BLLM Size=13B, Trainable Params=13.03B, Input=Single-V. Img.2024.0537.1236.0636.59
LLaVA-13BInput=Single-V. Img., Zero-shot=true2023.0837.1236.0644.17
LLaVA-13BLLM Size=13B, 3D Data Size=0K, Input=Single-V. Img.2026.0227.7127.7627.74
LLaVA-7BLLM Size=7B, 3D Data Size=0K, Input=Single-V. Img.2026.0227.1121.6824.4
InstructBLIP-13BLLM Size=13B, Trainable Params=0.20B, Input=Single-V. Img.2024.0525.9731.428.69
InstructBLIP-13BInput=Single-V. Img., Zero-shot=true2023.0825.9731.431.47
ShapeLLM-13Bzero-shot=true, parameters=13B, protocol=PointLLM2026.0522.1720.15—
GPT-4o miniLLM Size=-, 3D Data Size=0K, Input=Single-V. Img.2026.022223.122.55
InstructBLIP-13BLLM Size=13B, 3D Data Size=0K, Input=Single-V. Img.2026.0221.5621.9221.74
GPT4PointLLM Size=2.7B, 3D Data Size=660K, Input=Point Cloud2026.0221.3921.0721.23
ShapeLLM-7Bzero-shot=true, parameters=7B, protocol=PointLLM2026.0519.811.84—
InstructBLIP-7BLLM Size=7B, Trainable Params=0.20B, Input=Single-V. Img.2024.0519.5331.4825.51
InstructBLIP-7BInput=Single-V. Img., Zero-shot=true2023.0819.5331.4834.5
InstructBLIP-7BLLM Size=7B, 3D Data Size=0K, Input=Single-V. Img.2026.0217.6722.8120.24
ShapeLLM-13BLLM Size=13B, Trainable Params=13.04B, Input=3D Point Cloud2024.05——52.96
ShapeLLM-7BLLM Size=7B, Trainable Params=7.04B, Input=3D Point Cloud2024.05——53.08