Bhargava, Prajjwal

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

Effective Long-Context Scaling of Foundation Models

Xiong, W., Liu, J., Molybog, I., Zhang, H., Bhargava, P., Hou, R., Martin, L., Rungta, R., Sankararaman, K. A., Oguz, B., et al. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 33

Effective Long-Context Scaling of Foundation Models

Xiong, W., Liu, J., Molybog, I., Zhang, H., Bhargava, P., Hou, R., Martin, L., Rungta, R., Sankararaman, K. A., Oguz, B., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs

Bansal, R., Zhang, A., Tiwari, R., Madaan, L., Duvvuri, S. S., Khatri, D., Brandfonbrener, D., Alvarez-Melis, D., Bhargava, P., Kale, M. S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0