arXiv · 2410.05915
Give me a hint: Can LLMs take a hint to solve math problems?
Abstract
While state-of-the-art LLMs have shown poor logical and basic mathematical reasoning, recent works try to improve their problem-solving abilities using prompting techniques. We propose giving "hints" to improve the language model's performance on advanced mathematical problems, taking inspiration from how humans approach math pedagogically. We also test robustness to adversarial hints and demonstrate their sensitivity to them. We demonstrate the effectiveness of our approach by evaluating various diverse LLMs, presenting them with a broad set of problems of different difficulties and topics from the MATH dataset and comparing against techniques such as one-shot, few-shot, and chain of thought prompting.
Explore related subjects
Keep this discovery
Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, Shivank Garg, Ayush Mangal. 2024-10-08. Give me a hint: Can LLMs take a hint to solve math problems?. https://arxiv.org/abs/2410.05915
Cite the original work for its findings. Save a collection to share your selection of sources.