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 ...

Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...