| A survey of large language models WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou, Y Min, B Zhang, J Zhang, ... arXiv preprint arXiv:2303.18223, 2023 | 1693* | 2023 |
| A survey of pretrained language models based text generation J Li, T Tang, WX Zhao, JY Nie, JR Wen arXiv preprint arXiv:2201.05273, 2022 | 249* | 2022 |
| Few-shot knowledge graph-to-text generation with pretrained language models J Li, T Tang, WX Zhao, Z Wei, NJ Yuan, JR Wen arXiv preprint arXiv:2106.01623, 2021 | 47 | 2021 |
| Not all languages are created equal in llms: Improving multilingual capability by cross-lingual-thought prompting H Huang, T Tang, D Zhang, WX Zhao, T Song, Y Xia, F Wei arXiv preprint arXiv:2305.07004, 2023 | 37 | 2023 |
| Textbox 2.0: A text generation library with pre-trained language models T Tang, J Li, Z Chen, Y Hu, Z Yu, W Dai, Z Dong, X Cheng, Y Wang, ... arXiv preprint arXiv:2212.13005, 2022 | 31* | 2022 |
| Learning to transfer prompts for text generation J Li, T Tang, JY Nie, JR Wen, WX Zhao arXiv preprint arXiv:2205.01543, 2022 | 29 | 2022 |
| A survey on long text modeling with transformers Z Dong, T Tang, L Li, WX Zhao arXiv preprint arXiv:2302.14502, 2023 | 26 | 2023 |
| Mvp: Multi-task supervised pre-training for natural language generation T Tang, J Li, WX Zhao, JR Wen arXiv preprint arXiv:2206.12131, 2022 | 23 | 2022 |
| Context-tuning: Learning contextualized prompts for natural language generation T Tang, J Li, WX Zhao, JR Wen arXiv preprint arXiv:2201.08670, 2022 | 20 | 2022 |
| ELMER: A non-autoregressive pre-trained language model for efficient and effective text generation J Li, T Tang, WX Zhao, JY Nie, JR Wen arXiv preprint arXiv:2210.13304, 2022 | 14 | 2022 |
| Not all metrics are guilty: Improving nlg evaluation with llm paraphrasing T Tang, H Lu, YE Jiang, H Huang, D Zhang, WX Zhao, F Wei arXiv preprint arXiv:2305.15067, 2023 | 11 | 2023 |
| Bamboo: A comprehensive benchmark for evaluating long text modeling capacities of large language models Z Dong, T Tang, J Li, WX Zhao, JR Wen arXiv preprint arXiv:2309.13345, 2023 | 9 | 2023 |
| Learning to imagine: Visually-augmented natural language generation T Tang, Y Chen, Y Du, J Li, WX Zhao, JR Wen arXiv preprint arXiv:2305.16944, 2023 | 6 | 2023 |
| The Web Can Be Your Oyster for Improving Large Language Models J Li, T Tang, WX Zhao, J Wang, JY Nie, JR Wen arXiv preprint arXiv:2305.10998, 2023 | 6* | 2023 |
| ElitePLM: An empirical study on general language ability evaluation of pretrained language models J Li, T Tang, Z Gong, L Yang, Z Yu, Z Chen, J Wang, WX Zhao, JR Wen arXiv preprint arXiv:2205.01523, 2022 | 5 | 2022 |
| Beyond imitation: Leveraging fine-grained quality signals for alignment G Guo, R Zhao, T Tang, WX Zhao, JR Wen arXiv preprint arXiv:2311.04072, 2023 | 4 | 2023 |
| Towards effective ancient chinese translation: Dataset, model, and evaluation G Guo, J Yang, F Lu, J Qin, T Tang, WX Zhao CCF International Conference on Natural Language Processing and Chinese …, 2023 | 3 | 2023 |
| Zero-shot visual question answering with language model feedback Y Du, J Li, T Tang, WX Zhao, JR Wen arXiv preprint arXiv:2305.17006, 2023 | 3 | 2023 |
| Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks T Tang, J Li, WX Zhao, JR Wen Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 1 | 2021 |
| Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models Y Chen, T Tang, E Xiang, L Li, WX Zhao, J Wang, Y Chai, JR Wen arXiv preprint arXiv:2404.11502, 2024 | | 2024 |
Wayne Xin ZhaoProfessor, Renmin University of ChinaVerifierad e-postadress på ruc.edu.cn
