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The reasoning-image task only have two choices, so "random choose" can get 50 scores. However, performance of the best model "InternVL-Chat-V1-5-RAG" is
Does it means this task is too difficult?
The text was updated successfully, but these errors were encountered:
The main reason for the underperformance of these models, as compared to random guessing, is their inability to understand images presented as options. For example, when we provide a question in the format <question>\nA.<image>\nB.<image>, the models often do not respond with either A or B, but instead generate a lengthy, irrelevant passage.
We argue that this task is not hard, as humans can easily achieve near-perfect performance. On the contrary, we think this task effectively demonstrates the current limitations of multimodal models in understanding multiple images.
The reasoning-image task only have two choices, so "random choose" can get 50 scores. However, performance of the best model "InternVL-Chat-V1-5-RAG" is
Does it means this task is too difficult?
The text was updated successfully, but these errors were encountered: