GSM8K Dataset Papers With Code
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Descrição
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.
arxiv-sanity
ToRA: Tool-Integrated Reasoning Agents
Add GSM8K dataset · Issue #3201 · huggingface/datasets · GitHub
Linkpost] Solving Quantitative Reasoning Problems with Language Models — LessWrong
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
GitHub - microsoft/TraceCodegen
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
📜 Top LLM Papers of the Week - by Yoon Baek
Top Important LLM Papers for the Week from 30/10 to 5/11
GitHub - dair-ai/ML-Papers-of-the-Week: 🔥Highlighting the top ML papers every week.
GitHub - Raibows/Learn-to-Reason: Code for Democratizing Reasoning Ability: Tailored Learning from Large Language Model, EMNLP 2023
Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic
Paper Review: Llama 2: Open Foundation and Fine-Tuned Chat Models – Andrey Lukyanenko
2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper Review: LLaMA: Open and Efficient Foundation Language Models – Andrey Lukyanenko
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