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Priyanka Mary Mammen

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#artificial intelligence Preprint Oct 2026

Towards Reliable Vision-Language Models for Autonomous Driving

Vision-Language models (VLMs) are increasingly being explored in autonomous driving for tasks such as scene understanding, driving reasoning, decision-making, and end-to-end driving. As their role becomes more prominent, ensuring their robustness and reliability is increasingly important. In real-world conditions, visu...

Manasa Mariam Mammen, Priyanka Mary Mammen, Zafer Kayatas et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

This paper investigates whether model's internal representations provide stronger signals of eventual task success in multi-turn agentic setups, and introduces two complementary methods: Latent Trajectory Dynamics (LTD) and the Action Representation Probe (ARP), which predicts success from representations formed at act...

Priyanka Mary Mammen, Emil Joswin, Srujananjali Medicherla · 1 citation