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Enhancing LLM Reasoning with Hints by yoloappdemo is a document available to read on EtoBox.
What is Enhancing LLM Reasoning with Hints about?
The document introduces Hint-before-Solving Prompting (HSP), a method designed to enhance the reasoning capabilities of Large Language Models (LLMs) by guiding them to generate helpful hints before solving problems. Extensive experiments demonstrate that HSP significantly improves the accuracy of reasoning tasks across various benchmarks, with Llama2-70B-Chat showing a 9.7% increase in performance. Additionally, the authors created the HSPMATH dataset and fine-tuned Llemma-7B, achieving an accuracy of 64.3%
- Author
- yoloappdemo
- Language
- EN