GSM8K Dataset Papers With Code
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.
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2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Fine-Tuning LLMs: In-Depth Analysis with LLAMA-2
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Paper Review: Llama 2: Open Foundation and Fine-Tuned Chat Models – Andrey Lukyanenko
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WizardMath - Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - AI Papers Academy
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ToRA: Tool-Integrated Reasoning Agents
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition – arXiv Vanity
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PDF) Discriminator-Guided Multi-step Reasoning with Language Models
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MMLU Dataset Papers With Code
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