2k citations · 4.9k across the 54 of their papers we have counts for
54 papers
AI exposure predicts unemployment risk
Morgan Frank, Yong-Yeol Ahn, Esteban Moro
Is artificial intelligence (AI) disrupting jobs and creating unemployment? Despite many attempts to quantify occupations' exposure to AI, inconsistent validation obfuscates the rel…
Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods
Isabel Constantino, Sadamori Kojaku, Santo Fortunato +1
Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector represen…
Cooperation and interdependence in global science funding
Lili Miao, Vincent Larivière, Feifei Wang +2
Investments in research and development are key to scientific and economic growth and to the well-being of society. Scientific research demands significant resources making nationa…
Discovering collective narratives shifts in online discussions
Wanying Zhao, Siyi Guo, Kristina Lerman +1
Narrative is a foundation of human cognition and decision making. Because narratives play a crucial role in societal discourses and spread of misinformation and because of the perv…
Network community detection via neural embeddings
Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn +1
Recent advances in machine learning research have produced powerful neural graph embedding methods, which learn useful, low-dimensional vector representations of network data. Thes…
Can we trust the evaluation on ChatGPT?
Rachith Aiyappa, Jisun An, Haewoon Kwak +1
ChatGPT, the first large language model (LLM) with mass adoption, has demonstrated remarkable performance in numerous natural language tasks. Despite its evident usefulness, evalua…