Josh MillgateTop 100 Most Cited AI Papers of 2023
1. LLM Dominance: 83% of the most cited papers focus on large language models (LLMs). 2. Meta’s LLaMA Impact: Meta’s “LLaMA” model is the most cited paper, reflecting its influence on the field. 3. Interdisciplinary Research: There is a growing trend of interdisciplinary approaches in AI research, combining insights from various fields. 4. Ethics and Fairness: A notable number of papers address ethical considerations and fairness in AI systems. 5. Open Research Movement: Many cited papers advocate for open-source models and transparency in research methodologies. 6. Benchmarking Standards: The establishment of new benchmarks for evaluating AI models is a recurring theme in top papers. 7. Model Efficiency: Research increasingly focuses on improving the efficiency and sustainability of training large models. 8. Applications Beyond NLP: While LLMs dominate, there is also significant research into applications in computer vision and robotics. 9. Collaborative Efforts: Many top papers result from collaborations between academia and industry, enhancing practical relevance. 10. Future Directions: Emerging topics include explainability, robustness, and the societal impacts of AI technologies.