Inconsistent KRIS-Bench Results: Unable to Reproduce Reported Scores Using Official Evaluation Script

Thank you for providing such an impressive model and for sharing the evaluation details of KRIS-Bench.

When attempting to reproduce your reported results using the same hyperparameters (`cfg_text_scale=4, cfg_img_scale=1.5, cfg_renorm_min=0`), I consistently obtained significantly higher scores than those shown in your reference: https://github.com/mercurystraw/Kris_Bench/issues/2#issue-3147374124. Even when I evaluated using the inference outputs you provided in https://huggingface.co/datasets/Andy1621/BAGEL_results, the scores remained noticeably higher than the ones you originally published.

To avoid any discrepancies introduced by internal tooling, I used the official KRIS-Bench evaluation code. The only change I made was updating the model API from "gpt-4o" to "gpt-4o-2024-11-20".

Could you help verify whether the previously reported results can be reproduced using the official evaluation script?

For reference, my evaluation outputs are as follows:

Using my own inference results (not supporting multi-image input):
```
Attribute Perception:
VC: 81.64
VQ: 82.36
IF: 47.64
AVG: 70.55
Spatial Perception:
VC: 76.75
VQ: 92.00
IF: 39.00
AVG: 69.25
Temporal Prediction:
VC: 0.00
VQ: 0.00
IF: 0.00
AVG: 0.00
Social Science:
VC: 79.00
VQ: 86.00
IF: 43.01
KP: 33.60
AVG: 63.65
Natural Science:
VC: 75.13
VQ: 91.16
IF: 44.21
KP: 32.98
AVG: 64.42
Logical Reasoning:
VC: 85.67
VQ: 91.95
IF: 30.97
KP: 26.11
AVG: 62.86
Instruction Decomposition:
VC: 34.00
VQ: 36.33
IF: 41.17
AVG: 37.17
Factual Knowledge:
AVG: 58.63
Conceptual Knowledge:
AVG: 64.23
Procedural Knowledge:
AVG: 51.00
Overall:
AVG: 59.26
```

Using your released inference results:
```
Attribute Perception:
VC: 81.09
VQ: 82.73
IF: 48.82
AVG: 70.88
Spatial Perception:
VC: 80.25
VQ: 90.25
IF: 42.75
AVG: 71.08
Temporal Prediction:
VC: 37.84
VQ: 70.61
IF: 31.76
AVG: 46.73
Social Science:
VC: 84.60
VQ: 86.20
IF: 40.38
KP: 33.24
AVG: 64.93
Natural Science:
VC: 75.57
VQ: 90.84
IF: 39.45
KP: 29.61
AVG: 62.86
Logical Reasoning:
VC: 83.83
VQ: 94.83
IF: 31.67
KP: 23.96
AVG: 61.99
Instruction Decomposition:
VC: 35.17
VQ: 36.00
IF: 40.33
AVG: 37.17
Factual Knowledge:
AVG: 66.95
Conceptual Knowledge:
AVG: 63.36
Procedural Knowledge:
AVG: 50.71
Overall:
AVG: 61.49
```

Thank you for looking into this. If you have any questions, please feel free to let me know.

Start with the official KRIS-Bench evaluation code and compare its results for the reported hyperparameters against both the author's inference outputs and the released BAGEL_results dataset. Check the gpt-4o versus gpt-4o-2024-11-20 API change and determine whether the previously reported scores can be reproduced; document the cause of any discrepancy.

Written by the indexing model from the issue text.