Securing large language models: Addressing bias, misinformation, and prompt attacks B Peng, K Chen, M Li, P Feng, Z Bi, J Liu, Q Niu arXiv preprint arXiv:2409.08087, 2024 | 21* | 2024 |
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges Q Niu, J Liu, Z Bi, P Feng, B Peng, K Chen arXiv preprint arXiv:2409.02387, 2024 | 13* | 2024 |
Jailbreaking and mitigation of vulnerabilities in large language models B Peng, Z Bi, Q Niu, M Liu, P Feng, T Wang, LKQ Yan, Y Wen, Y Zhang, ... arXiv preprint arXiv:2410.15236, 2024 | 11 | 2024 |
Surveying the mllm landscape: A meta-review of current surveys M Li, K Chen, Z Bi, M Liu, B Peng, Q Niu, J Liu, J Wang, S Zhang, X Pan, ... arXiv preprint arXiv:2409.18991, 2024 | 10* | 2024 |
A practical methodology to measure unbiased gas chromatographic retention factor vs. temperature relationships B Peng, MY Kuo, P Yang, JT Hewitt, PG Boswell Journal of Chromatography A 1374, 207-215, 2014 | 10 | 2014 |
Emerging Techniques in Vision-Based Human Posture Detection: Machine Learning Methods and Applications B Peng, Z Bi, P Feng, Q Niu, J Liu, K Chen | 9* | 2024 |
Optically modulated and optically activated delayed fluorescent proteins through dark state engineering B Peng, R Dikdan, SE Hill, AC Patterson-Orazem, RL Lieberman, ... The Journal of Physical Chemistry B 125 (20), 5200-5209, 2021 | 9 | 2021 |
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice Q Niu, K Chen, M Li, P Feng, Z Bi, J Liu, B Peng OSF, 2024 | 8 | 2024 |
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications P Feng, Z Bi, Y Wen, X Pan, B Peng, M Liu, J Xu, K Chen, J Liu, CH Yin, ... arXiv preprint arXiv:2410.01268, 2024 | 6* | 2024 |
Deep learning and machine learning, advancing big data analytics and management: Tensorflow pretrained models K Chen, Z Bi, Q Niu, J Liu, B Peng, S Zhang, M Liu, M Li, X Pan, J Xu, ... arXiv preprint arXiv:2409.13566, 2024 | 6* | 2024 |
Llms and diffusion models in ui/ux: Advancing human-computer interaction and design L Sun, M Qin, B Peng OSF Preprints, 2024 | 5 | 2024 |
Deep learning and machine learning with gpgpu and cuda: Unlocking the power of parallel computing M Li, Z Bi, T Wang, Y Wen, Q Niu, J Liu, B Peng, S Zhang, X Pan, J Xu, ... arXiv preprint arXiv:2410.05686, 2024 | 4 | 2024 |
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns K Chen, Z Bi, T Wang, Y Wen, P Feng, Q Niu, J Liu, B Peng, S Zhang, M Li, ... arXiv preprint arXiv:2410.03795, 2024 | 4* | 2024 |
A comprehensive guide to explainable AI: from classical models to LLMs W Hsieh, Z Bi, C Jiang, J Liu, B Peng, S Zhang, X Pan, J Xu, J Wang, ... arXiv preprint arXiv:2412.00800, 2024 | 3 | 2024 |
From word vectors to multimodal embeddings: Techniques, applications, and future directions for large language models C Zhang, B Peng, X Sun, Q Niu, J Liu, K Chen, M Li, P Feng, Z Bi, M Liu, ... arXiv preprint arXiv:2411.05036, 2024 | 3 | 2024 |
Ziqian Bi M Li Tianyang Wang, Keyu Chen, Jiawei Xu, Qian Niu, Junyu Liu, Benji Peng, Sen …, 2024 | 3 | 2024 |
Large language model benchmarks in medical tasks LKQ Yan, Q Niu, M Li, Y Zhang, CH Yin, C Fei, B Peng, Z Bi, P Feng, ... arXiv preprint arXiv:2410.21348, 2024 | 2 | 2024 |
Deep Learning, Machine Learning--Digital Signal and Image Processing: From Theory to Application W Hsieh, Z Bi, J Liu, B Peng, S Zhang, X Pan, J Xu, J Wang, K Chen, ... arXiv preprint arXiv:2410.20304, 2024 | 2 | 2024 |
Deep Learning and Machine Learning--Object Detection and Semantic Segmentation: From Theory to Applications J Ren, Z Bi, Q Niu, J Liu, B Peng, S Zhang, X Pan, J Wang, K Chen, ... arXiv preprint arXiv:2410.15584, 2024 | 2 | 2024 |
Deep learning and machine learning, advancing big data analytics and management: Handy appetizer B Peng, X Pan, Y Wen, Z Bi, K Chen, M Li, M Liu, Q Niu, J Liu, J Wang, ... arXiv preprint arXiv:2409.17120, 2024 | 2 | 2024 |