Header shape illustration 1Header shape illustration 2
Back

Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis

Alessandro Scirè, Andrei Stefan Bejgu, Simone Tedeschi, Karim Ghonim, Federico Martelli, Roberto Navigli

Abstract

After the introduction of Large Language Models (LLMs), there have been substantial improvements in the performance of Natural Language Generation (NLG) tasks, including Text Summarization and Machine Translation. However, LLMs still produce outputs containing hallucinations, that is, content not grounded in factual information. Therefore, developing methods to assess the factuality of LLMs has become urgent. Indeed, resources for factuality evaluation have recently emerged. Although challenging, these resources face one or more of the following limitations:

  1. they are tailored to a specific task or domain;
  2. they are limited in size, thereby preventing the training of new factuality evaluators;
  3. they are designed

for simpler verification tasks, such as claim verification. To address these issues, we introduce LLM-Oasis, to the best of our knowledge the largest resource for training end-to-end factuality evaluators. LLM-Oasis is constructed by extracting claims from Wikipedia, falsifying a subset of these claims, and generating pairs of factual and unfactual texts. We then rely on human annotators to both validate the quality of our dataset and to create a gold standard test set for benchmarking factuality evaluation systems. Our experiments demonstrate that LLM-Oasis presents a significant challenge for state-of-the-art LLMs, with GPT-4o achieving up to 60% accuracy in our proposed end-to-end factuality evaluation task, highlighting its potential to drive future research in the field.

November 2024, arXiv

Your privacy choices

Save and continue
Sign up!
The best way to get the latest news from Babelscape and the NLP world!
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Thank you for subscribing!
You’ve been added to our mailing list, and you’ll receive our next newsletter to stay updated on the latest news from the NLP world!
Something went wrong
We are sorry, your request cannot be processed right now.
Please wait a bit and try again.
Unsubscribe
We're sorry to see you go. Please enter your email address to complete the unsubscription process.
You'll receive an email confirmation shortly.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Check your email
We have sent you a link to your email to complete the unsubscribe process.
Something went wrong
We are sorry, your request cannot be processed right now.
Please wait a bit and try again.