Lin, Xi Victoria

Efficient Large Scale Language Modeling with Mixtures of Experts

Artetxe, M., Bhosale, S., Goyal, N., Mihaylov, T., Ott, M., Shleifer, S., Lin, X. V., Du, J., Iyer, S., Pasunuru, R., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 223

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Iyer, S., Lin, X. V., Pasunuru, R., Mihaylov, T., Simig, D., Yu, P., Shuster, K., Wang, T., Liu, Q., Koura, P. S., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 81

LEVER: Learning to Verify Language-to-Code Generation with Execution

Ni, A., Iyer, S., Radev, D., Stoyanov, V., Yih, W.-T., Wang, S. I., & Lin, X. V. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 46

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Lin, X. V., Chen, X., Chen, M., Shi, W., Lomeli, M., James, R., Rodriguez, P., Kahn, J., Szilvasy, G., Lewis, M., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

Instruction-tuned Language Models are Better Knowledge Learners

Jiang, Z., Sun, Z., Shi, W., Rodriguez, P., Zhou, C., Neubig, G., Lin, X. V., Yih, W.-T., & Iyer, S. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 3