RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models (2024.findings-acl)
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| Challenge: | The application scope of large language models (LLMs) is expanding . however, evaluating whether models can respond to user feedback has not been thoroughly analyzed. |
| Approach: | They propose a benchmark to assess whether large language models can respond to refuting feedback and adhere to user demands throughout the conversation. |
| Outcome: | The proposed benchmark covers tasks such as question answering, machine translation, and email writing. |
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