The paper "Unfamiliar finetuning examples control how language" by Kang et al. (2024) examines how the use of unfamiliar finetuning examples influences the behavior of 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 (2)

• Language Model concept
• fine-tuning concept