Emotion-Prompting: one feeling-loaded sentence makes an LLM try harder
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Here is a party trick that turned out to be a real research finding. Take any prompt you would send to a language model and staple one extra sentence onto the end: "This is very important to my career." That sentence tells the model nothing about the task. It does not hint at the answer, add a rule, or narrow the question. And yet, on open-ended work, the reply often comes back longer, more careful, and better organised than the plain version. That is Emotion-Prompting, introduced by Li et al.…
1Key Takeaways
- Here is a party trick that turned out to be a real research finding.
- Take any prompt you would send to a language model and staple one extra sentence onto the end: "This is very important to my career." That sentence tells the model nothing about the task.
- It does not hint at the answer, add a rule, or narrow the question.
- And yet, on open-ended work, the reply often comes back longer, more careful, and better organised than the plain version.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that here is a party trick that turned out to be a real research finding.
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