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.

Paper page - Llemma: An Open Language Model For Mathematics

HumanEval Dataset

AI tools to write (Julia) code (best/worse experience), e.g. ChatGPT, GPT 3.5 - Offtopic - Julia Programming Language

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

Papers Explained 55: LLaMA. LLaMA is a collection of foundation…, by Ritvik Rastogi, DAIR.AI

PDF] Solving math word problems with process- and outcome-based feedback

SFT Explained Papers With Code

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

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

DeepMind Studies Process- vs Outcome-based Model Supervision, Significantly Reducing Reasoning Errors on Math Word Problems, by Synced, SyncedReview

arxiv-sanity

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

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

Language Models are Multilingual Chain-of-Thought Reasoners

📜 Top LLM Papers of the Week - by Yoon Baek