Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning (2024.emnlp-main)
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| Challenge: | Existing studies focus on *broadening* the training set with data augmentation techniques to maximize such benefits. |
| Approach: | They propose a method that embeds problem reflection into each training instance. |
| Outcome: | The proposed method enhances performance in standard and complex scenarios that require reflective thinking. |
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