Mao, Yuning

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

LIMA: Less Is More for Alignment

Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y., Ma, X., Efrat, A., Yu, P., Yu, L., et al. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningEducational Assessment and Pedagogy

Cited by 275

LIMA: Less Is More for Alignment

Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y., Ma, X., Efrat, A., Yu, P., Yu, L., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningEducational Assessment and Pedagogy

Cited by 275

Generation-Augmented Retrieval for Open-Domain Question Answering

Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 146

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Zhong, M., Liu, Y., Yin, D., Mao, Y., Jiao, Y., Liu, P., Zhu, C., Ji, H., & Han, J. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 117

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

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

Generation-Augmented Retrieval for Open-domain Question Answering

Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 31

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Zhong, M., Liu, Y., Yin, D., Mao, Y., Jiao, Y., Liu, P., Zhu, C., Ji, H., & Han, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Dr. Zero: Self-Evolving Search Agents without Training Data

Yue, Z., Upasani, K., Yang, X., Ge, S., Nie, S., Mao, Y., Liu, Z., & Wang, D. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0