Khattar, Abhinav

Llama-Nemotron: Efficient Reasoning Models

Bercovich, A., Levy, I., Golan, I., Dabbah, M., El-Yaniv, R., Puny, O., Galil, I., Moshe, Z., Ronen, T., Nabwani, N., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Scalable Training of Mixture-of-Experts Models with Megatron Core

Yan, Z., Bai, H., Yao, X., Liu, D., Liu, T., Liu, H., Li, P., Wu, E., Fan, S., Tao, L., et al. (2026) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1

LatentMoE: Toward Optimal Accuracy per FLOP and Parameter in Mixture of Experts

Elango, V., Bhatia, N., Waleffe, R., Shafipour, R., Asida, T., Khattar, A., Assaf, N., Golub, M., Guman, J., Mitra, T., et al. (2026) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0