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.

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

arxiv-sanity

PaLM 2 Technical Report

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

Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic

Large Language Models as Optimizers Explained, by Minhajul Hoque

Building a No-Code Machine Learning Model by Chatting with GitHub Copilot

SFT Explained Papers With Code

GitHub - microsoft/TraceCodegen

HumanEval Dataset