Rapid Advances in Large Language Models Enable Efficient Algorithmic Problem-Solving
Large language models (LLMs) have made significant strides in algorithmic problem-solving tasks. To enhance their performance and efficiency, LLMs are being integrated into algorithms as general-purpose solvers. However, the development of these algorithms has largely relied on heuristics and trial-and-error methods, lacking a theoretical foundation. Researchers at Alibaba Group introduced a formal framework for designing … Read more