Open Source
awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
Our verdict
We have not reviewed awesome-hallucination-detection yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About awesome-hallucination-detection
A community-curated list of papers and resources focused on hallucination detection in large language models. It organizes research by categories such as detection methods, benchmarks, and surveys, providing a structured reference for builders and researchers.
Best for
Researchers and developers who need a curated bibliography on hallucination detection
Use cases
- Exploring state-of-the-art hallucination detection techniques
- Finding benchmark datasets for evaluating model hallucinations
- Surveying recent academic literature on LLM reliability
Notes
1,096 stars on GitHub. Last updated 2026-05-25. Licensed Apache-2.0.
Pros
- Comprehensive coverage of research papers across detection approaches
- Regularly updated with contributions from the community
- Well-organized into categories for quick reference
Cons
- Not a runnable tool or library; no code implementations included
- Requires manual paper reading and evaluation
- May lack practical guidance for real-world deployment
Key facts
What we have checked
- GitHub stars
- 1,134
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How awesome-hallucination-detection is growing
1,096 to 1,134
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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