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.
GSM8K Dataset Papers With Code
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
TensorFlow Datasets
GitHub - reasoning-machines/pal: PaL: Program-Aided Language Models (ICML 2023)
DeepMind Studies Process- vs Outcome-based Model Supervision, Significantly Reducing Reasoning Errors on Math Word Problems, by Synced, SyncedReview
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
GitHub - dair-ai/ML-Papers-of-the-Week: 🔥Highlighting the top ML papers every week.
The OIG Dataset
Paper Review: LLaMA: Open and Efficient Foundation Language Models – Andrey Lukyanenko
Language Models are Multilingual Chain-of-Thought Reasoners
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
WizardMath - Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - AI Papers Academy
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