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Benji Peng
Benji Peng
Principle Investigator at AppCubic
Verified email at appcubic.com
Title
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Cited by
Year
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
112024
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
102014
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
92021
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
82024
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
52024
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
42024
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
32024
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
32024
Ziqian Bi
M Li
Tianyang Wang, Keyu Chen, Jiawei Xu, Qian Niu, Junyu Liu, Benji Peng, Sen …, 2024
32024
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
22024
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
22024
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
22024
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
22024
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