Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models
Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models explores An adaptive prompting framework that leverages emotional tone to subtly improve LLM performance on specific tasks.. Commercial viability score: 5/10 in LLM Prompting.
Updated 4 hours ago
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisEMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language ModelsViability: 4.0
- Builds On ThisThe Fragility Of Moral Judgment In Large Language ModelsViability: 3.0
- Builds On ThisReading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR AgentsViability: 4.0
- Prior WorkTask Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment AnalysisViability: 5.0
- Higher ViabilityEmotion is Not Just a Label: Latent Emotional Factors in LLM Processing