GSM8K Dataset Papers With Code
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Descrição
GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. The dataset is segmented into 7.5K training problems and 1K test problems. These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. It can be used for multi-step mathematical reasoning.
arxiv-sanity
Paper page - Llemma: An Open Language Model For Mathematics
GPT-4 wins the new SOTA of the most difficult mathematical reasoning data set, and the new Prompting makes the reasoning ability of large models soar, by Yaokun Lin @ MachineLearningQuickNotes
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
PDF) Discriminator-Guided Multi-step Reasoning with Language Models
PaLM Explained Papers With Code
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
Add GSM8K dataset · Issue #3201 · huggingface/datasets · GitHub
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
Darren Angle on LinkedIn: 3 quick prompt engineering tips for better outputs from large language…
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