1. Introduction 2. Background and Context 2.1. Overview of Natural Language Processing 2.2. Historical Development of Creative Idea Generation 2.3. Emergence of Large Language Models 3. Large Language Models in NLP 3.1. Definition and Examples 3.2. Technical Foundations 3.3. Current Applications and Limitations 4. Creative Idea Generation 4.1. Theoretical Frameworks 4.2. Applications in Various Fields 4.3. Challenges in Measuring Creativity 5. Enhancing Creativity with Large Language Models 5.1. Mechanisms of Idea Generation 5.2. Interactions and Synergies 5.3. Case Studies and Examples 6. Methodology of Evaluation 6.1. Research Design 6.2. Data Collection Techniques 6.3. Analysis Methods 7. Evaluation Results 7.1. Quantitative Findings 7.2. Qualitative Insights 7.3. Comparison with Traditional Methods 8. Conclusion and Future Recommendations 8.1. Summary of Key Findings 8.2. Implications for NLP and Creativity 8.3. Directions for Future Research
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