LLM-Resilient Bibliometrics: Factual Consistency Through Entity Triplet Extraction

Abstract: The increase in power and availability of Large Language Models (LLMs) since late 2022 led to increased concerns with their usage to automate academic paper mills. In turn, this poses a threat to bibliometrics-based technology monitoring and forecasting in...

Identifying Emerging Technologies and Influential Companies Using Network Dynamics of Patent Clusters

Abstract The need for dependable and real-time insights on technological paradigm shifts requires objective information. We develop a lean recommender system which predicts emerging technology by a sequential blend of machine learning and network analytics. We...