Our verdict
We have not reviewed Awesome-LLM-hallucination 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-LLM-hallucination
A curated GitHub repository listing research papers on hallucination in large language models. It organizes papers by category to help developers and researchers track mitigation strategies and detection methods.
Best for
Researchers and developers seeking a comprehensive paper bibliography on LLM hallucination
Use cases
- Surveying academic literature on LLM hallucination causes and solutions
- Identifying detection techniques for hallucinated outputs
- Benchmarking model reliability against known hallucination taxonomies
Notes
335 stars on GitHub. Last updated 2024-03-11. Licensed MIT.
Pros
- Structured categorization of papers for quick reference
- Active community maintenance with 335 stars
- Free and open access to a centralized resource
Cons
- Limited to paper listings, no code or tooling provided
- May not cover the most recent preprints or industry practices
- No built-in evaluation or testing capabilities
Key facts
What we have checked
- GitHub stars
- 338
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-LLM-hallucination is growing
335 to 338
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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Other entries in the index that connect to this one. Click through to see the chain.
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