AI hallucinations: a misnomer worth clarifying
N Maleki, B Padmanabhan… - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …
systems have been shown to suffer from a problematic phenomenon often termed as" …
Cross-validation conformal risk control
Conformal risk control (CRC) is a recently proposed technique that applies post-hoc to a
conventional point predictor to provide calibration guarantees. Generalizing conformal …
conventional point predictor to provide calibration guarantees. Generalizing conformal …
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
The application of artificial intelligence (AI) models in fields such as engineering is limited by
the known difficulty of quantifying the reliability of an AI's decision. A well-calibrated AI model …
the known difficulty of quantifying the reliability of an AI's decision. A well-calibrated AI model …
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
Y Ke, Z Utkovski, M Heshmati, O Simeone… - arXiv preprint arXiv …, 2024 - arxiv.org
An important use case of next-generation wireless systems is device-edge co-inference,
where a semantic task is partitioned between a device and an edge server. The device …
where a semantic task is partitioned between a device and an edge server. The device …
[PDF][PDF] Reliable Machine Learning for Communication Systems: Tools and Applications
KM Cohen - 2024 - kclpure.kcl.ac.uk
Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in
communication networks are adaptation and monitoring. Adaptation refers to the need to …
communication networks are adaptation and monitoring. Adaptation refers to the need to …