Ao, S. (2025) Building Trustworthy AI: Uncertainty Quantification and Failure Detection in Large Vision-Language Models

Ao, S., Rüger, S. and Siddharthan, A. (2024) CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs, 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), Barcelona, Spain

Ao, S., Rüger, S. and Siddharthan, A. (2023) Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection, 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, Macau, China

Ao, S., Rüger, S. and Siddharthan, A. (2023) Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA

Ao, S. (2023) Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing, ECIR 2023, Dublin, Ireland

Ao, S., Rueger, S. and Siddharthan, A. (2022) Confidence-Aware Calibration and Scoring Functions for Curriculum Learning, 2022 15th International Conference on Machine Vision., Rome, Italy

Ao, S. (2022) AI in safety-critical tasks: To trust or not to trust, that is a question