2 papers
cs.CV2025
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine, Benjamin Pikus, Jacob Phillips +3
As deep neural networks become adopted in high-stakes domains, it is crucial to identify when inference inputs are Out-of-Distribution (OOD) so that users can be alerted of likely…
cs.CL2024
Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data
Spencer Whitehead, Jacob Phillips, Sean Hendryx
Multimodal language models can exhibit hallucinations in their outputs, which limits their reliability. The ability to automatically detect these errors is important for mitigating…