The paper 'A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions' by Huang et al. (2025) provides a comprehensive survey of hallucination phenomena in large language models, published in ACM Transactions on Information Systems.

Authors

• Person: Not available Organization: arXiv
  Re-evaluating Hallucination Detection in LLMs - arXiv
• Person: Not available Organization: Zylos
  LLM Hallucination Detection and Mitigation: State of the Art in 2026
• Person: Not available Organization: GitHub
  Awesome-Hallucination-Detection-and-Mitigation - GitHub

Sources

• Re-evaluating Hallucination Detection in LLMs - arXiv arxiv.org arXiv via serper
• LLM Hallucination Detection and Mitigation: State of the Art in 2026 zylos.ai Zylos via serper
• Awesome-Hallucination-Detection-and-Mitigation - GitHub github.com GitHub via serper

Referenced by nodes (2)

• Large Language Models concept
• hallucination concept