Shou, Linjun

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 243

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Liang, Y., Wu, C., Song, T., Wu, W., Xia, Y., Liu, Y., Ou, Y., Lu, S., Ji, L., Mao, S., et al. (2024) · Intelligent Computing

Artificial Intelligence ApplicationsTopic Modeling

Cited by 108

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation

Zhuang, S., Ren, H., Shou, L., Pei, J., Gong, M., Zuccon, G., & Jiang, D. (2022) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 22