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.

AK on X: MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning paper page: The recently released GPT-4 Code Interpreter has demonstrated remarkable proficiency in solving challenging math problems

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Paper Review: Llama 2: Open Foundation and Fine-Tuned Chat Models – Andrey Lukyanenko

GitHub - reasoning-machines/pal: PaL: Program-Aided Language Models (ICML 2023)

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

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

Paper page - Llemma: An Open Language Model For Mathematics

Language Models are Multilingual Chain-of-Thought Reasoners

Phi-1.5: 41.4% HumanEval in 1.3B parameters (model download link in comments) : r/LocalLLaMA

Zhihong Shao on X: With self-consistency, ToRA-34B improves from 51% to 60% on the competition-level MATH dataset, and ToRA-70B scores 88.3% on GSM8k. Paper Page: Models: Github Repo