HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models

1. 1Decompose mathematical problems into sequential reasoning steps
2. 2Design context-aware hints to guide the model through the solution process
3. 3Implement a hint-assisted reasoning framework to incrementally guide the model
4. 4Evaluate the model's performance on mathematical reasoning tasks using the hint-assisted framework
5. 5Fine-tune the model using the hint-assisted framework to improve its mathematical reasoning capabilities

NLP researchers and engineers can benefit from this approach to enhance the mathematical reasoning capabilities of small language models, leading to improved performance in various applications

💡 Providing context-aware hints can significantly improve the mathematical reasoning capabilities of small language models

🤖 Improve mathematical reasoning in small language models with HintMR, a hint-assisted framework! 📝