GSM8K Dataset Papers With Code

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.

Yicheng Zou - CatalyzeX

Papers Explained 58: PaLM 2, by Ritvik Rastogi, DAIR.AI

Minerva: Solving Quantitative Reasoning Problems with Language Models – Google Research Blog

PDF) Discriminator-Guided Multi-step Reasoning with Language Models

Linkpost] Solving Quantitative Reasoning Problems with Language Models — LessWrong

GSM8K Dataset Papers With Code

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization

MMLU Dataset Papers With Code

WizardMath - Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - AI Papers Academy

GitHub - Raibows/Learn-to-Reason: Code for Democratizing Reasoning Ability: Tailored Learning from Large Language Model, EMNLP 2023

HumanEval Dataset