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.

GitHub - dair-ai/ML-Papers-of-the-Week: 🔥Highlighting the top ML papers every week.

Top Important LLM Papers for the Week from 30/10 to 5/11

🥇Top ML Papers of the Week - by elvis - NLP Newsletter

Fine-Tuning LLMs: In-Depth Analysis with LLAMA-2

How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems

Liangyu Chen @ NeurIPS 2023 (@cliangyu_) / X

Top Important LLM Papers for the Week from 2/10 to 8/10, by Youssef Hosni

ToRA: Tool-Integrated Reasoning Agents

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

GitHub - openai/grade-school-math

Ricky di LinkedIn: GitHub - bigscience-workshop/xmtf: Crosslingual Generalization through…

2312.09241] TinyGSM: achieving >80% on GSM8k with small language models

BIG-bench Dataset

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

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