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Uncertainty-aware Language Modeling for Selective Question Answering
We present an automatic large language model (LLM) conversion approach that produces uncertainty-aware LLMs capable of estimating uncertainty with every prediction.
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
We validate capsa by implementing state-of-the-art uncertainty estimation algorithms within the capsa framework and benchmarking them on complex perception datasets.
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