Papers by Venugopal Veeravalli
Principled Detection of Hallucinations in Large Language Models via Multiple Testing (2026.findings-acl)
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| Challenge: | Existing methods to detect hallucinations are prone to generating false alarms and false feedbacks. |
| Approach: | They propose a method that aggregates multiple evaluation scores via conformal p-values, enabling calibrated detection with controlled false alarm rate. |
| Outcome: | The proposed method aggregates multiple evaluation scores via conformal p-values, enabling calibrated detection with controlled false alarm rate. |