Cognitive Reasoning

Cognitive reasoning research focuses on enhancing the ability of artificial intelligence models, particularly large language models (LLMs), to perform complex logical tasks and solve problems requiring multi-step inferences. Current research emphasizes improving LLMs' understanding of nuanced language, addressing limitations in handling complex mathematical problems and symbolic reasoning, and incorporating external knowledge sources like knowledge graphs to overcome knowledge gaps and reduce hallucinations. These advancements are significant because they aim to create AI systems capable of more human-like reasoning, with applications ranging from improved question answering and text-to-SQL generation to more sophisticated recommendation systems and fake news detection.