====================================================================== 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 242 483 50.1% far counter 15 61 24.6% far ambiguous 14 50 28.0% close consistent 236 493 47.9% close counter 20 68 29.4% close ambiguous 20 51 39.2% ------------------------------------------------------ TOTAL consistent 478 976 49.0% TOTAL counter 35 129 27.1% Accuracy Gap (Consistent - Counter): 21.8%p -> Larger gap indicates stronger reliance on the 2D heuristic 🔍 Counter examples wrong: 94 / 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 COMPARISON (EmbSpatialBench far/close) ============================================================================== 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 49.2% 27.1% +21.8%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