| Starcoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... Transactions on Machine Learning Research (TMLR) 2023, 2023 | 1029* | 2023 |
| A survey of knowledge-enhanced text generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Surveys (CSUR) 2022 54, 1-38, 2022 | 318 | 2022 |
| Generate rather than retrieve: Large language models are strong context generators W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang International Conference on Learning Representations (ICLR) 2023, 2023 | 293 | 2023 |
| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... Technical Report (arXiv:2402.19173), 2024 | 199 | 2024 |
| Few-shot graph learning for molecular property prediction Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla Proceedings of The Web Conference (WebConf) 2021, 2021 | 182 | 2021 |
| Learning from counterfactual links for link prediction T Zhao, G Liu, D Wang, W Yu, M Jiang International Conference on Machine Learning (ICML) 2022, 2022 | 130* | 2022 |
| A survey of deep learning for mathematical reasoning P Lu, L Qiu, W Yu, S Welleck, KW Chang Annual Meeting of the Association for Computational Linguistics (ACL) 2023, 2023 | 129 | 2023 |
| KG-FiD: Infusing knowledge graph in fusion-in-decoder for open-domain question answering D Yu, C Zhu, Y Fang, W Yu, S Wang, Y Xu, X Ren, Y Yang, M Zeng Annual Meeting of the Association for Computational Linguistics (ACL) 2022, 2022 | 122 | 2022 |
| WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models H He, W Yao, K Ma, W Yu, Y Dai, H Zhang, Z Lan, D Yu Annual Meeting of the Association for Computational Linguistics (ACL) 2024, 2024 | 89* | 2024 |
| Chain-of-note: Enhancing robustness in retrieval-augmented language models W Yu, H Zhang, X Pan, K Ma, H Wang, D Yu Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024 | 83 | 2024 |
| Knowledge-augmented methods for natural language processing C Zhu, Y Xu, X Ren, BY Lin, M Jiang, W Yu Book, Thesis and Tutorials 2024, 2024 | 83* | 2024 |
| Dict-BERT: Enhancing language model pre-training with dictionary W Yu, C Zhu, Y Fang, D Yu, S Wang, Y Xu, M Zeng, M Jiang Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 76 | 2022 |
| A survey of multi-task learning in natural language processing: Regarding task relatedness and training methods Z Zhang, W Yu, M Yu, Z Guo, M Jiang Conference of the European Chapter of the Association for Computational …, 2023 | 72 | 2023 |
| BigCodebench: Benchmarking code generation with diverse function calls and complex instructions TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ... 🌟 Oral Paper (1.8%): International Conference on Learning Representations …, 2025 | 68* | 2025 |
| Improving language models via plug-and-play retrieval feedback W Yu, Z Zhang, Z Liang, M Jiang, A Sabharwal arXiv preprint arXiv:2305.14002, 2023 | 57 | 2023 |
| Empowering language models with knowledge graph reasoning for question answering Z Hu, Y Xu, W Yu, S Wang, Z Yang, C Zhu, KW Chang, Y Sun Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022, 2022 | 52 | 2022 |
| Graseq: graph and sequence fusion learning for molecular property prediction Z Guo, W Yu, C Zhang, M Jiang, NV Chawla ACM international conference on information & knowledge management (CIKM) 2020, 2020 | 50 | 2020 |
| Large language models are built-in autoregressive search engines N Ziems, W Yu, Z Zhang, M Jiang Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 49 | 2023 |
| Dense X Retrieval: What Retrieval Granularity Should We Use? T Chen, H Wang, S Chen, W Yu, K Ma, X Zhao, D Yu, H Zhang Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024 | 46 | 2024 |
| Enhancing taxonomy completion with concept generation via fusing relational representations Q Zeng, J Lin, W Yu, J Cleland-Huang, M Jiang 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021 | 46 | 2021 |
Meng JiangUniversity of Notre DameVerifierad e-postadress på nd.edu