Emotional Framing in Prompts Modulates Large Language Model Performance
Large Language Models (LLMs) demonstrate remarkable performance across a variety of natural language understanding tasks, yet their sensitivity to emotional framing in user prompts remains underexplored. This paper presents an empirical study investigating how four emotional tones—joy, apathy, anger...
Zapisane w:
| Główni autorzy: | , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2026-03-01
|
| Seria: | Big Data and Cognitive Computing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2504-2289/10/4/102 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|