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TitleStatusHype
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
Augmenting Math Word Problems via Iterative Question ComposingCode1
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyCode1
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionCode1
Large Language Models Can Be Easily Distracted by Irrelevant ContextCode1
Large Language Models Are Neurosymbolic ReasonersCode1
A Tree-Structured Decoder for Image-to-Markup GenerationCode1
Language Models Encode the Value of Numbers LinearlyCode1
Language Models as Science TutorsCode1
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
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