Details and more visualizations are in Appendices C and D.

Tree Search (MCTS) with LLMs to establish a self-improving loop, thereby enhancing the capabilities of LLMs without additional annotations.

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.

However, the vision encoders set a strong inductive bias in abstracting visual representation, e .