HaluCheck is a family of 1B–3B parameter LLM detectors aligned via Direct Preference Optimization (DPO) using synthetic hallucinated negatives ranked by grounding difficulty via the MiniCheck method.

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 (1)

• Direct Preference Optimization (DPO) concept