| Text embeddings by weakly-supervised contrastive pre-training L Wang, N Yang, X Huang, B Jiao, L Yang, D Jiang, R Majumder, F Wei arXiv preprint arXiv:2212.03533, 2022 | 408 | 2022 |
| Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data W Zhao, L Wang, K Shen, R Jia, J Liu NAACL 2019, 2019 | 265 | 2019 |
| Improving text embeddings with large language models L Wang, N Yang, X Huang, L Yang, R Majumder, F Wei ACL 2024, 2023 | 240 | 2023 |
| SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models L Wang, W Zhao, Z Wei, J Liu ACL 2022, 2022 | 227 | 2022 |
| Query2doc: Query Expansion with Large Language Models L Wang, N Yang, F Wei EMNLP 2023, 2023 | 199 | 2023 |
| Multilingual e5 text embeddings: A technical report L Wang, N Yang, X Huang, L Yang, R Majumder, F Wei arXiv preprint arXiv:2402.05672, 2024 | 136 | 2024 |
| Fine-tuning llama for multi-stage text retrieval X Ma, L Wang, N Yang, F Wei, J Lin SIGIR 2024, 2023 | 133 | 2023 |
| Text-level discourse dependency parsing S Li, L Wang, Z Cao, W Li ACL 2014, 25-35, 2014 | 121 | 2014 |
| Simlm: Pre-training with representation bottleneck for dense passage retrieval L Wang, N Yang, X Huang, B Jiao, L Yang, D Jiang, R Majumder, F Wei ACL 2023, 2022 | 98 | 2022 |
| Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension L Wang, M Sun, W Zhao, K Shen, J Liu Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 | 90 | 2018 |
| Generative representational instruction tuning N Muennighoff, H Su, L Wang, N Yang, F Wei, T Yu, A Singh, D Kiela ICLR 2025, 2024 | 73 | 2024 |
| Inference with reference: Lossless acceleration of large language models N Yang, T Ge, L Wang, B Jiao, D Jiang, L Yang, R Majumder, F Wei arXiv preprint arXiv:2304.04487, 2023 | 59 | 2023 |
| Pose: Efficient context window extension of llms via positional skip-wise training D Zhu, N Yang, L Wang, Y Song, W Wu, F Wei, S Li ICLR 2024, 2023 | 58 | 2023 |
| Learning to retrieve in-context examples for large language models L Wang, N Yang, F Wei EACL 2024, 2023 | 58 | 2023 |
| Ape210k: A large-scale and template-rich dataset of math word problems W Zhao, M Shang, Y Liu, L Wang, J Liu arXiv preprint arXiv:2009.11506, 2020 | 58 | 2020 |
| Multiview Identifiers Enhanced Generative Retrieval Y Li, N Yang, L Wang, F Wei, W Li ACL 2023, 2023 | 52 | 2023 |
| Denoising based Sequence-to-Sequence Pre-training for Text Generation L Wang, W Zhao, R Jia, S Li, J Liu EMNLP 2019, 2019 | 49 | 2019 |
| Learning to rank in generative retrieval Y Li, N Yang, L Wang, F Wei, W Li AAAI 2024, 2023 | 37 | 2023 |
| Learning to Rank Semantic Coherence for Topic Segmentation L Wang, S Li, Y Lv, W Houfeng EMNLP 2017, 1351-1355, 2017 | 30 | 2017 |
| Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast L Wang, W Zhao, J Liu EMNLP 2021, 2021 | 29 | 2021 |
Furu WeiPartner Research Manager, Microsoft Research在 microsoft.com 的电子邮件经过验证