The paper "Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs" by Gu et al. (2025) introduces a method for achieving generalizable and fine-grained factuality alignment in large language models.

Authors

• Person: Not available Organization: GitHub
  Awesome-Hallucination-Detection-and-Mitigation - GitHub

Sources

• Awesome-Hallucination-Detection-and-Mitigation - GitHub github.com GitHub via serper

Referenced by nodes (1)

• Large Language Models concept