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.

Meta Open-Sources LLAMA-2, Overview of New Features, by OpenMMLab

ToRA: Tool-Integrated Reasoning Agents

GitHub - microsoft/TraceCodegen

arxiv-sanity

𝗔𝗿𝗶𝘁𝗵𝗺𝗼-𝗠𝗶𝘀𝘁𝗿𝗮𝗹-𝟳𝗕 Model for Mathematical Reasoning : r/LocalLLaMA

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

2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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

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

Aojun Zhou - CatalyzeX

2023-5-28 arXiv roundup: 994 papers, beating RLHF with 1000 good examples, LoRA with way less RAM, Multi-epoch scaling

The OIG Dataset

MMLU Dataset Papers With Code