2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis
Alessandro Scirè, Andrei Stefan Bejgu, Simone Tedeschi +3
After the introduction of Large Language Models (LLMs), there have been substantial improvements in the performance of Natural Language Generation (NLG) tasks, including Text Summa…
cs.CL2024★ 2 cited
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
Alessandro Scirè, Karim Ghonim, Roberto Navigli
Recent advancements in text summarization, particularly with the advent of Large Language Models (LLMs), have shown remarkable performance. However, a notable challenge persists as…