Moreover, there remains a considerable gap between the ability to answer exam questions and the application of this knowledge in real-world situations. To bridge the gap and thoroughly assess LLMs in supporting the crop science field, we introduce CROP.

The CROP benchmark includes 5,045 multiple-choice questions covering three difficulty levels.

The task of sequential memory is considered challenging for models operating under biological constraints (i.e., local synaptic computations) for many reasons, including catastrophic forgetting,

In this work, we revisit the image classification task using visually-grounded language models (VLMs) such as GPT -4V and LLaV A. We find that