The paper "Tool Learning with Large Language Models: A Survey" by Changle Qu et al. provides a comprehensive review of the emerging field of tool learning in large language models (LLMs). The authors address the fragmented nature of existing literature and aim to bridge the gap by systematically reviewing the benefits and implementation aspects of tool learning. They focus on two primary dimensions: (1) why tool learning is beneficial and (2) how tool learning is implemented. The benefits of tool learning include enhanced knowledge acquisition, expertise enhancement, automation and efficiency, and interaction enhancement. The implementation aspects are detailed through a taxonomy of four key stages: task planning, tool selection, tool calling, and response generation. The paper also provides a detailed summary of benchmarks and evaluation methods, discusses current challenges, and outlines potential future directions. The authors conclude by emphasizing the importance of tool learning in improving the capabilities of LLMs and inspiring further research and development in this area.The paper "Tool Learning with Large Language Models: A Survey" by Changle Qu et al. provides a comprehensive review of the emerging field of tool learning in large language models (LLMs). The authors address the fragmented nature of existing literature and aim to bridge the gap by systematically reviewing the benefits and implementation aspects of tool learning. They focus on two primary dimensions: (1) why tool learning is beneficial and (2) how tool learning is implemented. The benefits of tool learning include enhanced knowledge acquisition, expertise enhancement, automation and efficiency, and interaction enhancement. The implementation aspects are detailed through a taxonomy of four key stages: task planning, tool selection, tool calling, and response generation. The paper also provides a detailed summary of benchmarks and evaluation methods, discusses current challenges, and outlines potential future directions. The authors conclude by emphasizing the importance of tool learning in improving the capabilities of LLMs and inspiring further research and development in this area.