prompt optimization
Prompt optimization is the process of refining input prompts given to models, particularly in natural language tasks, to elicit the best possible output. This is crucial in maximizing the effectiveness of AI systems powered by large language models.
- EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
- Enhancing CLIP Robustness via Cross-Modality Alignment
- How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
- QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
- Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
- System Prompt Optimization with Meta-Learning
- Understanding Prompt Tuning and In-Context Learning via Meta-Learning