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.
Language Models are Multilingual Chain-of-Thought Reasoners
arxiv-sanity
GitHub - reasoning-machines/pal: PaL: Program-Aided Language Models (ICML 2023)
Papers Explained 55: LLaMA. LLaMA is a collection of foundation…, by Ritvik Rastogi, DAIR.AI
gsm8k · Datasets at Hugging Face
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition – arXiv Vanity
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Paper page - TheoremQA: A Theorem-driven Question Answering dataset
Phi-1.5: 41.4% HumanEval in 1.3B parameters (model download link in comments) : r/LocalLLaMA
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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Aojun Zhou - CatalyzeX
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