3 papers
cs.SI2025
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…
physics.soc-ph2024
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…
cs.CL2024
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…