Tan, Xiaoqing Ellen

Llama 2: Open Foundation and Fine-Tuned Chat Models

Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,604

Code Llama: Open Foundation Models for Code

Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 531

An Introduction to Vision-Language Modeling

Bordes, F., Pang, R. Y., Ajay, A., Li, A. C., Bardes, A., Petryk, S., Mañas, O., Lin, Z., Mahmoud, A., Jayaraman, B., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 47

Demystifying clip data

Xu, H., Xie, S., Tan, X. E., Huang, P.-Y., Howes, R., Sharma, V., Li, S.-W., Ghosh, G., Zettlemoyer, L., & Feichtenhofer, C. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 34

Shepherd: A Critic for Language Model Generation

Wang, T., Yu, P., Tan, X. E., O'Brien, S., Pasunuru, R., Dwivedi-Yu, J., Golovneva, O., Zettlemoyer, L., Fazel-Zarandi, M., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5