Abstract: Existing visual deep learning paradigms, which are based on labels, struggle to capture the intricate interrelationships between farmland and its surrounding environment and fail to account ...

Abstract: This paper introduces StreamLLM, a method that uses Large Language Models (LLMs) to generate streamliners for constraint programming. Streamliners narrow the search space to improve the ...