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Models/PointLLM-13B V1.2

PointLLM-13B V1.2

Reported on 6 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

3D Object CaptioningonObjaverse
Sentence-BERT· 2023-08-31
47.91
best: 49.54 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object CaptioningonObjaverse
Correctness· 2023-08-31
3.1
best: 3.5 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object CaptioningonObjaverse
GPT-4· 2023-08-31
48.15
best: 57.06 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object CaptioningonObjaverse
SimCSE· 2023-08-31
49.12
best: 51.39 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object CaptioningonObjaverse
Hallucination· 2023-08-31
0.84
best: 1.16 (3D-LLM)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object CaptioningonObjaverse
Precision· 2023-08-31
78.75
best: 83.14 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911