| 3d-question-answering-3d-qa-on-3d-mm-vet | ShapeLLM-13B | #1 | Overall Accuracy: 53.1 |
| 3d-question-answering-3d-qa-on-3d-mm-vet | ShapeLLM-7B | #2 | Overall Accuracy: 47.4 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shot | ReCon++ | #1 | Overall Accuracy: 96.5Standard Deviation: 3.0 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shot | ReCon++ | #1 | Overall Accuracy: 99.5Standard Deviation: 0.8 |
| zero-shot-transfer-3d-point-cloud-classification-on-scanobjectnn | ReCon++ | #1 | OBJ_ONLY Accuracy(%): 65.4 |
| 3d-object-captioning-on-objaverse | ShapeLLM-13B | #2 | GPT-4: 48.94Sentence-BERT: 48.52SimCSE: 49.98 |
| 3d-object-captioning-on-objaverse | ShapeLLM-7B | #4 | GPT-4: 46.92Sentence-BERT: 48.20SimCSE: 49.23 |
| 3d-point-cloud-linear-classification-on-modelnet40 | ReCon++ | #2 | Overall Accuracy: 93.6 |
| few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shot | ReCon++ | #2 | Overall Accuracy: 94.5Standard Deviation: 4.1 |
| few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shot | ReCon++ | #2 | Overall Accuracy: 98.0Standard Deviation: 2.3 |
| generative-3d-object-classification-on-modelnet40 | ShapeLLM-7B | #2 | ModelNet40 (Average): 53.08 |
| generative-3d-object-classification-on-modelnet40 | ShapeLLM-13B | #3 | ModelNet40 (Average): 52.96 |
| generative-3d-object-classification-on-objaverse | ShapeLLM-7B | #2 | Objaverse (Average): 54.50 |
| generative-3d-object-classification-on-objaverse | ShapeLLM-13B | #4 | Objaverse (Average): 54.00 |
| 3d-point-cloud-classification-on-modelnet40 | ReCon++ | #3 | Overall Accuracy: 95.0 |
| 3d-point-cloud-classification-on-scanobjectnn | ReCon++ | #3 | Overall Accuracy: 95.25OBJ-BG (OA): 98.80OBJ-ONLY (OA): 97.59 |
| zero-shot-transfer-3d-point-cloud-classification-on-modelnet40 | ReCon++ | #3 | Accuracy (%): 87.3 |