| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 13273 | 2023 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 3208 | 2024 |
| Semantically-guided representation learning for self-supervised monocular depth V Guizilini, R Hou, J Li, R Ambrus, A Gaidon arXiv preprint arXiv:2002.12319, 2020 | 278 | 2020 |
| Effective long-context scaling of foundation models W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ... arXiv preprint arXiv:2309.16039, 2023 | 192 | 2023 |
| Unipelt: A unified framework for parameter-efficient language model tuning Y Mao, L Mathias, R Hou, A Almahairi, H Ma, J Han, W Yih, M Khabsa arXiv preprint arXiv:2110.07577, 2021 | 185 | 2021 |
| Progressive prompts: Continual learning for language models A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi arXiv preprint arXiv:2301.12314, 2023 | 146 | 2023 |
| Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring S Jeong, M Ferguson, R Hou, JP Lynch, H Sohn, KH Law Advanced engineering informatics 42, 100991, 2019 | 117 | 2019 |
| An information modeling framework for bridge monitoring S Jeong, R Hou, JP Lynch, H Sohn, KH Law Advances in engineering software 114, 11-31, 2017 | 114 | 2017 |
| Real-time panoptic segmentation from dense detections R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 89 | 2020 |
| Mart: Improving llm safety with multi-round automatic red-teaming S Ge, C Zhou, R Hou, M Khabsa, YC Wang, Q Wang, J Han, Y Mao arXiv preprint arXiv:2311.07689, 2023 | 82 | 2023 |
| Towards automatic detection of misinformation in online medical videos R Hou, V Pérez-Rosas, S Loeb, R Mihalcea 2019 International conference on multimodal interaction, 235-243, 2019 | 80 | 2019 |
| XLM-V: Overcoming the vocabulary bottleneck in multilingual masked language models D Liang, H Gonen, Y Mao, R Hou, N Goyal, M Ghazvininejad, ... arXiv preprint arXiv:2301.10472, 2023 | 73 | 2023 |
| Idpg: An instance-dependent prompt generation method Z Wu, S Wang, J Gu, R Hou, Y Dong, VG Vydiswaran, H Ma arXiv preprint arXiv:2204.04497, 2022 | 55 | 2022 |
| Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors R Hou, S Jeong, JP Lynch, KH Law Transportation research part c: emerging technologies 111, 547-571, 2020 | 45 | 2020 |
| A scalable cloud-based cyberinfrastructure platform for bridge monitoring S Jeong, R Hou, JP Lynch, H Sohn, KH Law Structure and Infrastructure Engineering 15 (1), 82-102, 2019 | 45 | 2019 |
| Residual prompt tuning: Improving prompt tuning with residual reparameterization A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, J Ba, A Almahairi arXiv preprint arXiv:2305.03937, 2023 | 41 | 2023 |
| Data-driven analytical load rating method of bridges using integrated bridge structural response and weigh-in-motion truck data R Hou, S Jeong, JP Lynch, MM Ettouney, KH Law Mechanical Systems and Signal Processing 163, 108128, 2022 | 32 | 2022 |
| Jack of all tasks master of many: Designing general-purpose coarse-to-fine vision-language model S Pramanick, G Han, R Hou, S Nag, SN Lim, N Ballas, Q Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 24 | 2024 |
| A cloud-based information repository for bridge monitoring applications S Jeong, Y Zhang, R Hou, JP Lynch, H Sohn, KH Law Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2016 | 16 | 2016 |
| Systems and methods for panoptic image segmentation R Hou, J Li, V Guizilini, AD GAIDON, D Park, A BHARGAVA US Patent App. 16/843,026, 2021 | 14 | 2021 |
Jerome P. LynchProfessor of Civil and Environmental Engineering, Duke UniversityAdresă de e-mail confirmată pe duke.edu