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Artificial Intelligence (AI) has witnessed rapid growth, especially in thesubfields Natural Language Processing (NLP), Machine Learning (ML) and ComputerVision (CV). Keeping pace with this rapid progress poses a considerablechallenge for researchers and professionals in the field. In this arXiv report,the second of its kind, which covers the period from January to September 2023,we aim to provide insights and analysis that help navigate these dynamic areasof AI. We accomplish this by 1) identifying the top-40 most cited papers fromarXiv in the given period, comparing the current top-40 papers to the previousreport, which covered the period January to June; 2) analyzing datasetcharacteristics and keyword popularity; 3) examining the global sectoraldistribution of institutions to reveal differences in engagement acrossgeographical areas. Our findings highlight the continued dominance of NLP:while only 16% of all submitted papers have NLP as primary category (more than25% have CV and ML as primary category), 50% of the most cited papers have NLPas primary category, 90% of which target LLMs. Additionally, we show that i)the US dominates among both top-40 and top-9k papers, followed by China; ii)Europe clearly lags behind and is hardly represented in the top-40 most citedpapers; iii) US industry is largely overrepresented in the top-40 mostinfluential papers.

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?