5 papers
FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs
Elijah Feldman, Dipak Meher, Carlotta Domeniconi
Court proceedings contain valuable evidence about human smuggling networks, but this information is often buried within unstructured, jargon-heavy legal documents. While large lang…
Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models
Sumanth Manduru, Carlotta Domeniconi
The rapid adoption of Small Language Models (SLMs) for resource constrained applications has outpaced our understanding of their ethical and fairness implications. To address this…
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
Dipak Meher, Carlotta Domeniconi
Human smuggling networks are increasingly adaptive and difficult to analyze. Legal case documents offer critical insights but are often unstructured, lexically dense, and filled wi…
LINK-KG: LLM-Driven Coreference-Resolved Knowledge Graphs for Human Smuggling Networks
Dipak Meher, Carlotta Domeniconi, Guadalupe Correa-Cabrera
Human smuggling networks are complex and constantly evolving, making them difficult to analyze comprehensively. Legal case documents offer rich factual and procedural insights into…
CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
Dipak Meher, Carlotta Domeniconi, Guadalupe Correa-Cabrera
Human smuggling networks are increasingly adaptive and difficult to analyze. Legal case documents offer valuable insights but are unstructured, lexically dense, and filled with amb…