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Large Language Models (LLMs) have garnered significant attention for their ability to understand text and images, generate human-like text, and perform complex reasoning tasks.
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Carranza-García, Manuel, Jesús Torres-Mateo, Pedro Lara-Benítez, and Jorge García-Gutiérrez. On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data. Remote Sensing 13, no. 1, 2020: 89, 2020
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Vivan, Gabriel Prescinotti, Nick Goberville, Zachary Asher, Nicolas Brown, and Johan Rojas. No cost autonomous vehicle advancements in carla through ROS. No. 2021-01-0106. SAE Technical Paper, 2021, pages1-16, 2021
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Wei, Jason, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V. Le, and Denny Zhou. Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35,2022, pages 24824-24837,2022
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Huang, Zhiyu, Jingda Wu, and Chen Lv. Efficient deep reinforcement learning with imitative expert priors for autonomous driving. IEEE Transactions on Neural Networks and Learning Systems. IEEE, 2022
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2023
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Zhang, Tianyi, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B. Hashimoto. Benchmarking large language models for news summarization. arXiv preprint arXiv:2301, 2023
Elhafsi, Amine, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa AD Nesnas, and Marco Pavone. Semantic anomaly detection with large language models. Autonomous Robots, 47, no. 8, pages 1035-1055, 2023
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Wu, Jingda, Zhiyu Huang, Zhongxu Hu, and Chen Lv. Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving. Engineering 21, pages 75-9, 2023
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Li, Ang, Shijie Sun, Zhaoyang Zhang, Mingtao Feng, Chengzhong Wu, and Wang Li. A Multi-Scale Traffic Object Detection Algorithm for Road Scenes Based on Improved YOLOv5. Electronics 12, no. 4, 2023: 878, 2023
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2023
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Chang, Yupeng, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen et al. In A survey on evaluation of large language models. ACM Transactions on Intelligent Systems and Technology. IEEE, 2023
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Axelsson, Agnes, and Gabriel Skantze. Do you follow? a fully automated system for adaptive robot presenters. In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, pages 102-111, 2023
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Deng, Yao, Jiaohong Yao, Zhi Tu, Xi Zheng, Mengshi Zhang, and Tianyi Zhang. TARGET: Traffic Rule-based Test Generation for Autonomous Driving Systems. arXiv preprint arXiv: 2305.06018, 2023
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Cao, Xuan, Yanwei Zhang, Song Lang, and Yan Gong. Swin-Transformer-Based YOLOv5 for Small-Object Detection in Remote Sensing Images. Sensors 23, no. 7, 2023: 3634, 2023
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Terven, Juan, Diana-Margarita Córdova-Esparza, and Julio-Alejandro Romero-González. A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS. Machine Learning and Knowledge Extraction 5, no. 4, 2023, pages1680-1716, 2023
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Duan, Nan, Duyu Tang, and Ming Zhou. Machine reasoning: Technology, dilemma and future. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 1-6, 2023
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