Inductive reasoning is a core problem-solving capacity: humans can ident...
Language models often achieve higher accuracy when reasoning step-by-ste...
Automatically generating high-quality step-by-step solutions to math wor...
Despite recent success in large language model (LLM) reasoning, LLMs sti...
General mathematical reasoning is computationally undecidable, but human...
Humans tame the complexity of mathematical reasoning by developing
hiera...
Large pre-trained language models have been used to generate code,provid...
An overarching goal of natural language processing is to enable machines...
Abstract symbolic reasoning, as required in domains such as mathematics ...