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Interpretable Math Word Problem Solution Generation via Step-by-step Planning
AbstractSolutions to math word problems (MWPs) with step-by-step explanations are valuable, especially in education, to help students better comprehend problem-solving strategies. Most existing approaches only focus on obtaining the final …...
Making Language Models Better Reasoners with Step-Aware Verifier
AbstractFew-shot learning is a challenging task that requires language models to generalize from limited examples. Large language models like GPT-3 and PaLM have made impressive progress in this area, but …...