A recent arXiv study reveals that Carnegie Mellon University (CMU) leads in large language model (LLM) research efficiency, followed by Stanford University, Peking University, and Tsinghua University. The analysis assessed nearly 17,000 LLM papers (2018-2023) and found that academic institutions produced 85% of the research, demonstrating a faster growth rate compared to industry. Notably, CMU boasts the highest papers-per-student ratio, reflecting its specialized programs and faculty. The study highlights the increasing importance of universities in LLM research, especially in areas like societal impact and multimodal AI, even as Big Tech plays a significant role. Other top institutions include the University of Washington and Zhejiang University, emphasizing a global shift towards Asian universities in AI research. This landscape underscores the critical need for students, policymakers, and industries to identify leading academic contributors to inform future collaborations and investments in AI and LLM technologies.
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