Christian Tomani

According to our database, Christian Tomani authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations.

Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim

CoRR, 2024

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.

Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Quality Control at Your Fingertips: Quality-Aware Translation Models.

Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Daniel Cremers

CoRR, 2023

Beyond In-Domain Scenarios: Robust Density-Aware Calibration.

Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers

Proceedings of the International Conference on Machine Learning, 2023

2022

CHALLENGER: Training with Attribution Maps.

Christian Tomani, Daniel Cremers

CoRR, 2022

What Makes Graph Neural Networks Miscalibrated?

Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.

Christian Tomani, Daniel Cremers, Florian Buettner

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Post-Hoc Uncertainty Calibration for Domain Drift Scenarios.

Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration.

Christian Tomani, Florian Buettner

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021