Javaheripi, Mojan

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Textbooks Are All You Need

Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 138

Phi-4 Technical Report

Abdin, M., Aneja, J., Behl, H., Bubeck, S., Eldan, R., Gunasekar, S., Harrison, M., Hewett, R. J., Javaheripi, M., Kauffmann, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

Javaheripi, M., de Rosa, G. H., Mukherjee, S., Shah, S., Religa, T. L., Mendes, C. C. T., Bubeck, S., Koushanfar, F., & Dey, D. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 11