GSM8K Dataset Papers With Code
Por um escritor misterioso
Last updated 04 outubro 2024
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.
Linkpost] Solving Quantitative Reasoning Problems with Language Models — LessWrong
PDF] ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance – Google Research Blog
GSM8K Dataset Papers With Code
opengraph.githubassets.com/1500281d921e64ea460bfaa
Solving Mathematical Word Problems using Chain-Of-Thought Prompting with Large Language Models, by Utkarsh Garg
What is the prompt and setting for GSM8K evaluation? · Issue #325 · facebookresearch/llama · GitHub
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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