Hallucination detection
- Dominant language
- Python
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Description
Detect hallucinations in LLM outputs
# Details
* What is the problem you're trying to solve?
* detect hallucinations in LLM outputs
* What tasks or workflows would be enabled by having support for your
proposed feature in cleanlab?
* selective classification, classification with abstention, and more in general a way to "trust" your LLM output
* Can you share code snippets or pseudocode describing uses of your feature?
* I don't have code, but there are a few GitHub repositories implementing hallucination detection models, such as https://github.com/oneal2000/MIND
* Can you share any datasets that can help us assess the usefulness of the
proposed feature?
* https://github.com/oneal2000/MIND/tree/main/helm
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