Adaptive Decoding via Latent Preference Optimization
During language model decoding, it is known that using higher temperature sampling gives
more creative responses, while lower temperatures are more factually accurate. However …
more creative responses, while lower temperatures are more factually accurate. However …
On Uncertainty In Natural Language Processing
D Ulmer - arxiv preprint arxiv:2410.03446, 2024 - arxiv.org
The last decade in deep learning has brought on increasingly capable systems that are
deployed on a wide variety of applications. In natural language processing, the field has …
deployed on a wide variety of applications. In natural language processing, the field has …
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
'A trustworthy representation of uncertainty is desirable and should be considered as a key
feature of any machine learning method'(Huellermeier and Waegeman, 2021). This …
feature of any machine learning method'(Huellermeier and Waegeman, 2021). This …