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Found 2 papers, 2 papers with code
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
We observe that these methods generally improve the uncertainty awareness of CodeLlama, with increased calibration quality and higher uncertainty estimation~(UE) precision.
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning
However, existing research primarily addresses only one type of noise, thereby limiting the effectiveness of noise reduction.
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