| Look before you leap: An exploratory study of uncertainty measurement for large language models Y Huang, J Song, Z Wang, S Zhao, H Chen, F Juefei-Xu, L Ma arXiv preprint arXiv:2307.10236, 2023 | 193 | 2023 |
| Isr-llm: Iterative self-refined large language model for long-horizon sequential task planning Z Zhou, J Song, K Yao, Z Shu, L Ma 2024 IEEE International Conference on Robotics and Automation (ICRA), 2081-2088, 2024 | 134 | 2024 |
| Self-refined large language model as automated reward function designer for deep reinforcement learning in robotics J Song, Z Zhou, J Liu, C Fang, Z Shu, L Ma arXiv preprint arXiv:2309.06687, 2023 | 57 | 2023 |
| Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models Y Huang, J Song, Z Wang, S Zhao, H Chen, F Juefei-Xu, L Ma IEEE Transactions on Software Engineering, 2025 | 46 | 2025 |
| Towards building AI-CPS with NVIDIA Isaac Sim: An industrial benchmark and case study for robotics manipulation Z Zhou, J Song, X Xie, Z Shu, L Ma, D Liu, J Yin, S See Proceedings of the 46th international conference on software engineering …, 2024 | 43 | 2024 |
| When cyber-physical systems meet AI: a benchmark, an evaluation, and a way forward J Song, D Lyu, Z Zhang, Z Wang, T Zhang, L Ma Proceedings of the 44th International Conference on Software Engineering …, 2022 | 41 | 2022 |
| Luna: A model-based universal analysis framework for large language models D Song, X Xie, J Song, D Zhu, Y Huang, F Juefei-Xu, L Ma IEEE Transactions on Software Engineering 50 (7), 1921-1948, 2024 | 26 | 2024 |
| Towards understanding retrieval accuracy and prompt quality in rag systems S Zhao, Y Huang, J Song, Z Wang, C Wan, L Ma arXiv preprint arXiv:2411.19463, 2024 | 22 | 2024 |
| Multilingual blending: Llm safety alignment evaluation with language mixture J Song, Y Huang, Z Zhou, L Ma arXiv preprint arXiv:2407.07342, 2024 | 17 | 2024 |
| Mosaic: Model-based safety analysis framework for AI-enabled cyber-physical systems X Xie, J Song, Z Zhou, F Zhang, L Ma arXiv preprint arXiv:2305.03882, 2023 | 16 | 2023 |
| Online safety analysis for llms: a benchmark, an assessment, and a path forward X Xie, J Song, Z Zhou, Y Huang, D Song, L Ma IEEE Transactions on Artificial Intelligence, 2025 | 15 | 2025 |
| Autorepair: Automated repair for ai-enabled cyber-physical systems under safety-critical conditions D Lyu, J Song, Z Zhang, Z Wang, T Zhang, L Ma, J Zhao arXiv preprint arXiv:2304.05617, 2023 | 15 | 2023 |
| : A Semantics-Guided Safety Enhancement Framework for AI-Enabled Cyber-Physical Systems J Song, X Xie, L Ma IEEE Transactions on Software Engineering 49 (8), 4058-4080, 2023 | 14 | 2023 |
| Towards testing and evaluating vision-language-action models for robotic manipulation: An empirical study Z Wang, Z Zhou, J Song, Y Huang, Z Shu, L Ma arXiv e-prints, arXiv: 2409.12894, 2024 | 13 | 2024 |
| VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation Z Wang, Z Zhou, J Song, Y Huang, Z Shu, L Ma Proceedings of the ACM on Software Engineering 2 (FSE), 1615-1638, 2025 | 10 | 2025 |
| MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems R Wang, Z Zhou, J Song, X Xie, X Xie, L Ma arXiv preprint arXiv:2408.03892, 2024 | 7 | 2024 |
| Active testing of large language model via multi-stage sampling Y Huang, J Song, Q Hu, F Juefei-Xu, L Ma arXiv preprint arXiv:2408.03573, 2024 | 7 | 2024 |
| Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture J Song, Y Huang, Z Zhou, L Ma Findings of the Association for Computational Linguistics: NAACL 2025, 3433-3449, 2025 | 6 | 2025 |
| LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation Z Wang, Z Zhou, J Song, Y Huang, Z Shu, L Ma arXiv preprint arXiv:2410.05191, 2024 | 6 | 2024 |
| GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Z Zhou, X Xie, J Song, Z Shu, L Ma IEEE Transactions on Neural Networks and Learning Systems, 2024 | 4 | 2024 |
