Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models
Results show that 2D spatial performance in text-only LLMs depends on both the model and the output medium, and is not explained by code-generation ability alone.
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Results show that 2D spatial performance in text-only LLMs depends on both the model and the output medium, and is not explained by code-generation ability alone.
This work argues that benchmark evaluation should also consider the data-centric peak performance frontier, defined by the best statistically supported performance achieved on each dataset, and finds that common aggregation metrics are highly correlated and largely measure consistency and avoiding failures, while being...
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