Multi Step Reasoning Capability

Multi-step reasoning, the ability of artificial intelligence to solve complex problems requiring multiple logical steps, is a major focus of current research. Efforts concentrate on improving large language models' (LLMs) performance using techniques like chain-of-thought prompting, integrating logic programming, and refining problem formulation through methods such as self-polishing. These advancements aim to enhance LLMs' accuracy and robustness in various domains, from medical diagnosis to complex question answering, bridging the gap between current capabilities and human-level reasoning. The resulting improvements have significant implications for both scientific understanding of AI and the development of practical applications across numerous fields.