Papers by Katherine Hermann
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study (2023.findings-emnlp)
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| Challenge: | Using a few-shot prompt, we examine the effects of symbols and patterns on in-context learning in large language models. |
| Approach: | They employ a counterfactual prompting approach by manipulating examples and testing the consequences on model behavior. |
| Outcome: | The proposed approach allows us to understand the relative contributions of symbols and patterns on in-context learning. |