Khabsa, Madian

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

Linformer: Self-Attention with Linear Complexity

Wang, S., Li, B. Z., Khabsa, M., Fang, H., & Ma, H. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 867

Learning to identify relevant studies for systematic reviews using random forest and external information

Khabsa, M., Elmagarmid, A., Ilyas, I., Hammady, H., & Ouzzani, M. (2016) · Machine Learning

Meta-analysis and systematic reviewsText and Document Classification Technologies

Cited by 98

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Inan, H., Upasani, K., Chi, J., Rungta, R., Iyer, K., Mao, Y., Tontchev, M., Hu, Q., Fuller, B., Testuggine, D., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 56

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

Progressive Prompts: Continual Learning for Language Models

Razdaibiedina, A., Mao, Y., Hou, R., Khabsa, M., Lewis, M., & Almahairi, A. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

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