Natural Language Reasoning

Natural language reasoning (NLR) focuses on enabling computers to understand and reason with information presented in human language, aiming to replicate human-like logical deduction and inference capabilities. Current research heavily utilizes large language models (LLMs), often augmented with symbolic AI techniques or external tools like SQL databases or symbolic solvers, to improve accuracy and address limitations like hallucinations and inconsistencies in reasoning. This field is crucial for advancing AI's ability to process and interpret complex information, impacting diverse applications from question answering and decision-making in social simulations to medical diagnosis and robotics control.