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.
GSM8K Dataset  Papers With Code
MMLU Dataset Papers With Code
GSM8K Dataset  Papers With Code
2023-5-28 arXiv roundup: 994 papers, beating RLHF with 1000 good examples, LoRA with way less RAM, Multi-epoch scaling
GSM8K Dataset  Papers With Code
Large Language Models as Optimizers Explained, by Minhajul Hoque
GSM8K Dataset  Papers With Code
arxiv-sanity
GSM8K Dataset  Papers With Code
AI tools to write (Julia) code (best/worse experience), e.g. ChatGPT, GPT 3.5 - Offtopic - Julia Programming Language
GSM8K Dataset  Papers With Code
opengraph.githubassets.com/1500281d921e64ea460bfaa
GSM8K Dataset  Papers With Code
What is the prompt and setting for GSM8K evaluation? · Issue #325 · facebookresearch/llama · GitHub
GSM8K Dataset  Papers With Code
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
GSM8K Dataset  Papers With Code
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GSM8K Dataset  Papers With Code
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GSM8K Dataset  Papers With Code
GPT-4 wins the new SOTA of the most difficult mathematical reasoning data set, and the new Prompting makes the reasoning ability of large models soar, by Yaokun Lin @ MachineLearningQuickNotes
GSM8K Dataset  Papers With Code
How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems
GSM8K Dataset  Papers With Code
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GSM8K Dataset  Papers With Code
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
GSM8K Dataset  Papers With Code
ToRA: Tool-Integrated Reasoning Agents
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