3 citations · 3 across the 4 of their papers we have counts for
4 papers
ReX-GG: a LLM Ensemble Pipeline for Relation-extraction and Graph Generation
Giacomo Magnifico, Eduard Barbu
Current LLM ensemble frameworks focus on multi-step setups with additional modules for answer ranking, often opting for token and span analysis rather than structured outputs, lead…
Emerging categories in scientific explanations
Giacomo Magnifico, Eduard Barbu
Clear and effective explanations are essential for human understanding and knowledge dissemination. The scope of scientific research aiming to understand the essence of explanation…
Can summarization approximate simplification? A gold standard comparison
Giacomo Magnifico, Eduard Barbu
This study explores the overlap between text summarization and simplification outputs. While summarization evaluation methods are streamlined, simplification lacks cohesion, prompt…
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Marharyta Domnich, Julius Välja, Rasmus Moorits Veski +4
As machine learning models evolve, maintaining transparency demands more human-centric explainable AI techniques. Counterfactual explanations, with roots in human reasoning, identi…