Papers by Gopal Gupta
Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency (2025.coling-main)
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| Challenge: | Existing methods for in-context learning require annotated datasets, resulting in higher computational costs and lower quality examples. |
| Approach: | They propose a framework that automatically generates high-quality in-context examples to enhance LLMs’ mathematical reasoning. |
| Outcome: | Evaluated on four math problem datasets, the proposed framework outperforms baseline methods with LLM accuracy ranging from 87.0% to 99.3%. |