|
|
| ====================================================================== |
| Model: molmo-7B-O-0924 |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 326 483 67.5% |
| far counter 16 61 26.2% |
| far ambiguous 24 50 48.0% |
| close consistent 294 493 59.6% |
| close counter 29 68 42.6% |
| close ambiguous 22 51 43.1% |
| ------------------------------------------------------ |
| TOTAL consistent 620 976 63.5% |
| TOTAL counter 45 129 34.9% |
|
|
| Accuracy Gap (Consistent - Counter): 28.6%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 84 / 129 |
|
|
| ====================================================================== |
| Model: molmo-7B-O-0924-data_scale_exp_80k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 269 483 55.7% |
| far counter 19 61 31.1% |
| far ambiguous 21 50 42.0% |
| close consistent 322 493 65.3% |
| close counter 19 68 27.9% |
| close ambiguous 16 51 31.4% |
| ------------------------------------------------------ |
| TOTAL consistent 591 976 60.6% |
| TOTAL counter 38 129 29.5% |
|
|
| Accuracy Gap (Consistent - Counter): 31.1%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 91 / 129 |
|
|
| ====================================================================== |
| Model: molmo-7B-O-0924-data_scale_exp_400k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 315 483 65.2% |
| far counter 15 61 24.6% |
| far ambiguous 19 50 38.0% |
| close consistent 297 493 60.2% |
| close counter 20 68 29.4% |
| close ambiguous 16 51 31.4% |
| ------------------------------------------------------ |
| TOTAL consistent 612 976 62.7% |
| TOTAL counter 35 129 27.1% |
|
|
| Accuracy Gap (Consistent - Counter): 35.6%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 94 / 129 |
|
|
| ====================================================================== |
| Model: molmo-7B-O-0924-data_scale_exp_800k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 319 483 66.0% |
| far counter 22 61 36.1% |
| far ambiguous 19 50 38.0% |
| close consistent 317 493 64.3% |
| close counter 22 68 32.4% |
| close ambiguous 23 51 45.1% |
| ------------------------------------------------------ |
| TOTAL consistent 636 976 65.2% |
| TOTAL counter 44 129 34.1% |
|
|
| Accuracy Gap (Consistent - Counter): 31.1%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 85 / 129 |
|
|
| ====================================================================== |
| Model: molmo-7B-O-0924-data_scale_exp_2m |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 312 483 64.6% |
| far counter 18 61 29.5% |
| far ambiguous 20 50 40.0% |
| close consistent 325 493 65.9% |
| close counter 33 68 48.5% |
| close ambiguous 24 51 47.1% |
| ------------------------------------------------------ |
| TOTAL consistent 637 976 65.3% |
| TOTAL counter 51 129 39.5% |
|
|
| Accuracy Gap (Consistent - Counter): 25.7%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 78 / 129 |
|
|
| ====================================================================== |
| Model: NVILA-Lite-2B |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 73 483 15.1% |
| far counter 3 61 4.9% |
| far ambiguous 5 50 10.0% |
| close consistent 76 493 15.4% |
| close counter 7 68 10.3% |
| close ambiguous 9 51 17.6% |
| ------------------------------------------------------ |
| TOTAL consistent 149 976 15.3% |
| TOTAL counter 10 129 7.8% |
|
|
| Accuracy Gap (Consistent - Counter): 7.5%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 119 / 129 |
|
|
| ====================================================================== |
| Model: NVILA-Lite-2B-data-scale-exp-80k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 317 483 65.6% |
| far counter 2 61 3.3% |
| far ambiguous 11 50 22.0% |
| close consistent 246 493 49.9% |
| close counter 18 68 26.5% |
| close ambiguous 15 51 29.4% |
| ------------------------------------------------------ |
| TOTAL consistent 563 976 57.7% |
| TOTAL counter 20 129 15.5% |
|
|
| Accuracy Gap (Consistent - Counter): 42.2%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 109 / 129 |
|
|
| ====================================================================== |
| Model: NVILA-Lite-2B-data-scale-exp-400k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 319 483 66.0% |
| far counter 12 61 19.7% |
| far ambiguous 18 50 36.0% |
| close consistent 277 493 56.2% |
| close counter 32 68 47.1% |
| close ambiguous 20 51 39.2% |
| ------------------------------------------------------ |
| TOTAL consistent 596 976 61.1% |
| TOTAL counter 44 129 34.1% |
|
|
| Accuracy Gap (Consistent - Counter): 27.0%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 85 / 129 |
|
|
| ====================================================================== |
| Model: NVILA-Lite-2B-data-scale-exp-800k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 335 483 69.4% |
| far counter 17 61 27.9% |
| far ambiguous 20 50 40.0% |
| close consistent 282 493 57.2% |
| close counter 33 68 48.5% |
| close ambiguous 15 51 29.4% |
| ------------------------------------------------------ |
| TOTAL consistent 617 976 63.2% |
| TOTAL counter 50 129 38.8% |
|
|
| Accuracy Gap (Consistent - Counter): 24.5%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 79 / 129 |
|
|
| ====================================================================== |
| Model: NVILA-Lite-2B-data-scale-exp-2m |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 324 483 67.1% |
| far counter 19 61 31.1% |
| far ambiguous 21 50 42.0% |
| close consistent 268 493 54.4% |
| close counter 34 68 50.0% |
| close ambiguous 20 51 39.2% |
| ------------------------------------------------------ |
| TOTAL consistent 592 976 60.7% |
| TOTAL counter 53 129 41.1% |
|
|
| Accuracy Gap (Consistent - Counter): 19.6%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 76 / 129 |
|
|
| ====================================================================== |
| Model: RoboRefer-2B-SFT |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 422 483 87.4% |
| far counter 28 61 45.9% |
| far ambiguous 34 50 68.0% |
| close consistent 427 493 86.6% |
| close counter 49 68 72.1% |
| close ambiguous 37 51 72.5% |
| ------------------------------------------------------ |
| TOTAL consistent 849 976 87.0% |
| TOTAL counter 77 129 59.7% |
|
|
| Accuracy Gap (Consistent - Counter): 27.3%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 52 / 129 |
|
|
| ====================================================================== |
| Model: Qwen2.5-VL-3B-Instruct |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 274 483 56.7% |
| far counter 15 61 24.6% |
| far ambiguous 16 50 32.0% |
| close consistent 260 493 52.7% |
| close counter 27 68 39.7% |
| close ambiguous 17 51 33.3% |
| ------------------------------------------------------ |
| TOTAL consistent 534 976 54.7% |
| TOTAL counter 42 129 32.6% |
|
|
| Accuracy Gap (Consistent - Counter): 22.2%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 87 / 129 |
|
|
| ====================================================================== |
| Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_80k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 267 483 55.3% |
| far counter 15 61 24.6% |
| far ambiguous 13 50 26.0% |
| close consistent 227 493 46.0% |
| close counter 24 68 35.3% |
| close ambiguous 18 51 35.3% |
| ------------------------------------------------------ |
| TOTAL consistent 494 976 50.6% |
| TOTAL counter 39 129 30.2% |
|
|
| Accuracy Gap (Consistent - Counter): 20.4%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 90 / 129 |
|
|
| ====================================================================== |
| Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_400k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 275 483 56.9% |
| far counter 13 61 21.3% |
| far ambiguous 17 50 34.0% |
| close consistent 238 493 48.3% |
| close counter 22 68 32.4% |
| close ambiguous 17 51 33.3% |
| ------------------------------------------------------ |
| TOTAL consistent 513 976 52.6% |
| TOTAL counter 35 129 27.1% |
|
|
| Accuracy Gap (Consistent - Counter): 25.4%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 94 / 129 |
|
|
| ====================================================================== |
| Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_800k |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 297 483 61.5% |
| far counter 12 61 19.7% |
| far ambiguous 16 50 32.0% |
| close consistent 248 493 50.3% |
| close counter 22 68 32.4% |
| close ambiguous 15 51 29.4% |
| ------------------------------------------------------ |
| TOTAL consistent 545 976 55.8% |
| TOTAL counter 34 129 26.4% |
|
|
| Accuracy Gap (Consistent - Counter): 29.5%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 95 / 129 |
|
|
| ====================================================================== |
| Model: Qwen2.5-VL-3B-Instruct-data_scale_exp_2m |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 313 483 64.8% |
| far counter 6 61 9.8% |
| far ambiguous 14 50 28.0% |
| close consistent 281 493 57.0% |
| close counter 25 68 36.8% |
| close ambiguous 19 51 37.3% |
| ------------------------------------------------------ |
| TOTAL consistent 594 976 60.9% |
| TOTAL counter 31 129 24.0% |
|
|
| Accuracy Gap (Consistent - Counter): 36.8%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 98 / 129 |
|
|
| ====================================================================== |
| Model: Qwen3-VL-235B-A22B-Instruct |
| ====================================================================== |
|
|
| Category Type Correct Total Accuracy |
| ------------------------------------------------------ |
| far consistent 325 483 67.3% |
| far counter 22 61 36.1% |
| far ambiguous 22 50 44.0% |
| close consistent 363 493 73.6% |
| close counter 29 68 42.6% |
| close ambiguous 27 51 52.9% |
| ------------------------------------------------------ |
| TOTAL consistent 688 976 70.5% |
| TOTAL counter 51 129 39.5% |
|
|
| Accuracy Gap (Consistent - Counter): 31.0%p |
| -> Larger gap indicates stronger reliance on the 2D heuristic |
|
|
| 🔍 Counter examples wrong: 78 / 129 |
|
|
| ============================================================================== |
| MODEL COMPARISON |
| ============================================================================== |
| Model Consistent Counter Gap |
| ------------------------------------------------------------------------------ |
| molmo-7B-O-0924 63.5% 34.9% +28.6%p |
| molmo-7B-O-0924-data_scale_exp_80k 60.6% 29.5% +31.1%p |
| molmo-7B-O-0924-data_scale_exp_400k 62.7% 27.1% +35.6%p |
| molmo-7B-O-0924-data_scale_exp_800k 65.2% 34.1% +31.1%p |
| molmo-7B-O-0924-data_scale_exp_2m 65.3% 39.5% +25.7%p |
| NVILA-Lite-2B 15.3% 7.8% +7.5%p |
| NVILA-Lite-2B-data-scale-exp-80k 57.7% 15.5% +42.2%p |
| NVILA-Lite-2B-data-scale-exp-400k 61.1% 34.1% +27.0%p |
| NVILA-Lite-2B-data-scale-exp-800k 63.2% 38.8% +24.5%p |
| NVILA-Lite-2B-data-scale-exp-2m 60.7% 41.1% +19.6%p |
| RoboRefer-2B-SFT 87.0% 59.7% +27.3%p |
| Qwen2.5-VL-3B-Instruct 54.7% 32.6% +22.2%p |
| Qwen2.5-VL-3B-Instruct-data_scale_exp_80k 50.6% 30.2% +20.4%p |
| Qwen2.5-VL-3B-Instruct-data_scale_exp_400k 52.6% 27.1% +25.4%p |
| Qwen2.5-VL-3B-Instruct-data_scale_exp_800k 55.8% 26.4% +29.5%p |
| Qwen2.5-VL-3B-Instruct-data_scale_exp_2m 60.9% 24.0% +36.8%p |
| Qwen3-VL-235B-A22B-Instruct 70.5% 39.5% +31.0%p |
|
|
