The SAC^3 method for reliable hallucination detection in black-box language models uses accuracy and AUROC as metrics for classification QA and open-domain QA, and utilizes datasets including Prime number and senator search from Snowball Hallucination, HotpotQA, and Nq-open QA.

Authors

• Person: Not available Organization: GitHub
  EdinburghNLP/awesome-hallucination-detection - GitHub

Sources

• EdinburghNLP/awesome-hallucination-detection - GitHub github.com GitHub via serper

Referenced by nodes (4)

• hallucination detection concept
• accuracy concept
• AUROC concept
• NQ-Open concept