The recent success of large language models for text generation poses a severe threat to
academic integrity, as plagiarists can generate realistic paraphrases indistinguishable from …

Citing papers is the primary method through which modern scientific writing discusses and
builds on past work. Collectively, citing a diverse set of papers (in time and area of study) is …

Recent advances in deep learning methods for natural language processing (NLP) have
created new business opportunities and made NLP research critical for industry …

Natural Language Processing (NLP) is a dynamic, interdisciplinary field that integrates
intellectual traditions from computer science, linguistics, social science, and more. Despite …

This study examines the tendency to cite older work across 20 fields of study over 43 years
(1980--2023). We put NLP's propensity to cite older work in the context of these 20 other …

Cloud computing (CC) provides users with online access to network services, including
enhanced, transparent user management and the capacity to gather and process data. A …

Heterogeneous graph embedding maps a high-dimension graph that has different sorts of
nodes and edges to a low-dimensional space, making it perform well in downstream tasks …

The number of scientific publications continues to rise exponentially, especially in Computer
Science (CS). However, current solutions to analyze those publications restrict access …

This thesis investigates the development of research interests in the field of computer sci-
ence by examining how researchers transition between research objects and how different …