Papers with CoT prompting methods
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions (2024.naacl-long)
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| Challenge: | Existing CoT prompting methods elicited multi-step reasoning abilities of large language models (LLMs) but they were seriously confused by the irrelevant conditions, resulting in low accuracy. |
| Approach: | They propose a method that instructs large language models to identify and ignore irrelevant conditions and prompts them to verify the irrelevant conditions. |
| Outcome: | The proposed approach outperforms existing methods on MWPs with GPT-3.5-Turbo and I3C-Select. |