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Found 2 papers, 1 papers with code
Efficient Representation of the Activation Space in Deep Neural Networks
The representations of the activation space of deep neural networks (DNNs) are widely utilized for tasks like natural language processing, anomaly detection and speech recognition.
Weakly Supervised Detection of Hallucinations in LLM Activations
We introduce a weakly supervised auditing technique using a subset scanning approach to detect anomalous patterns in LLM activations from pre-trained models.
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