activity
20232026
collaborators

5 papers

cs.LG2026

OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies

Haki Darwish, Xiangyu Yin, Changwen Li +3

Benchmarks expose vision-language-action (VLA) policies to few canonical instructions, while exhaustive deployment testing is impossible. We introduce Object-Grounded Attention Mon…

cs.RO2026

Validating Generalist Robots with Situation Calculus and STL Falsification

Changwen Li, Rongjie Yan, Chih-Hong Cheng +1

Generalist robots are becoming a reality, capable of interpreting natural language instructions and executing diverse operations. However, their validation remains challenging beca…

cs.CV2025

Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment

Avinaash Manoharan, Xiangyu Yin, Domenik Helm +1

Evaluating object detection models in deployment is challenging because ground-truth annotations are rarely available. We introduce the Cumulative Consensus Score (CCS), a label-fr…

cs.SE2025

Rethinking Code Review Workflows with LLM Assistance: An Empirical Study

Fannar Steinn Aðalsteinsson, Björn Borgar Magnússon, Mislav Milicevic +2

Code reviews are a critical yet time-consuming aspect of modern software development, increasingly challenged by growing system complexity and the demand for faster delivery. This…

cs.LG2023

Runtime Monitoring DNN-Based Perception

Chih-Hong Cheng, Michael Luttenberger, Rongjie Yan

Deep neural networks (DNNs) are instrumental in realizing complex perception systems. As many of these applications are safety-critical by design, engineering rigor is required to…