Publications

You can also find my articles on my Google Scholar profile.

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks

Published: June 12, 2024 in Software Engineering 2030 Workshop

Position paper identifying gaps in LLM Testing tools and strategies.

Recommended citation: Hudson, Sinclair & Jit, Sophia & Hu, Boyue & Chechik, Marsha. (2024). A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks. 10.48550/arXiv.2406.08216.
Download Paper

Sim-to-real domain adaptation for lane detection and classification in autonomous driving

Published: June 04, 2022 in IEEE Intelligent Vehicles Symposium (IV)

Learning Lane Detection using simulated data from CARLA

Recommended citation: C. Hu, S. Hudson, M. Ethier, M. Al-Sharman, D. Rayside and W. Melek, "Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving," 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, 2022, pp. 457-463
Download Paper

Convolutional Neural Networks for Classification of Drones Using Radars

Published: December 15, 2021 in MDPI Drones

Classifying drones based on RADAR return signal.

Recommended citation: Raval D, Hunter E, Hudson S, Damini A, Balaji B. Convolutional Neural Networks for Classification of Drones Using Radars. Drones. 2021; 5(4):149. https://doi.org/10.3390/drones5040149
Download Paper

Sinclair Hudson

Publications

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks

Sim-to-real domain adaptation for lane detection and classification in autonomous driving

Convolutional Neural Networks for Classification of Drones Using Radars