RL4HS is a reinforcement-learning framework for span-level hallucination detection that couples chain-of-thought reasoning with span-level rewards, utilizing Group Relative Policy Optimization (GRPO) and Class-Aware Policy Optimization (CAPO) to address reward imbalance between hallucinated and non-hallucinated spans.

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 (3)

• hallucination detection concept
• chain-of-thought concept
• reinforcement learning concept