Unsafe operations described in natural text lead to a lower rejection rate than thoseincodeformat.

However, while popular, the system's suitability for assessing entities with constant skill levels, such as LLMs, remains relatively unexplored. We study two fundamental axioms that evaluation methods should adhere to: reliability and transitivity .

The array geometry is shown in the RealMAN paper.

We present a novel OCR-free document understanding framework based on pre-trained Multimodal Large Language Models (MLLMs).

Additionally, the patch tokens in foundation models can enrich the features in the detector's encoder