Papers with aligning and transferring reasoning abilities
Aligning Large and Small Language Models via Chain-of-Thought Reasoning (2024.eacl-long)
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| Challenge: | Chain-of-Thought (CoT) prompting empowers Large Language Models to solve complex reasoning tasks in a step-wise manner. |
| Approach: | They propose a method for aligning and transferring reasoning abilities between larger and smaller Language Models by using CoT-Demonstrations. |
| Outcome: | The proposed method outperforms baselines on question-answering and mathematical reasoning benchmarks. |