11 citations · 17 across the 5 of their papers we have counts for
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cs.SE2024★ 1 cited
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
Jiahui Wu, Chengjie Lu, Aitor Arrieta +2
Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a h…
cs.SE2023
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism
Chengjie Lu, Shaukat Ali, Tao Yue
Testing autonomous vehicles (AVs) under various environmental scenarios that lead the vehicles to unsafe situations is known to be challenging. Given the infinite possible environm…
cs.SE2023★ 5 cited
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Chengjie Lu, Tao Yue, Man Zhang +1
Autonomous driving systems (ADSs) are capable of sensing the environment and making driving decisions autonomously. These systems are safety-critical, and testing them is one of th…