| G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu arXiv preprint arXiv:2303.16634, 2023 | 2073 | 2023 |
| Information diffusion and external influence in networks SA Myers, C Zhu, J Leskovec Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 707 | 2012 |
| Automatic prompt optimization with "gradient descent" and beam search R Pryzant, D Iter, J Li, YT Lee, C Zhu, M Zeng arXiv preprint arXiv:2305.03495, 2023 | 617 | 2023 |
| An empirical study of training end-to-end vision-and-language transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 514 | 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 arXiv preprint arXiv:2209.10063, 2022 | 426 | 2022 |
| A survey of knowledge-enhanced text generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Surveys 54 (11s), 1-38, 2022 | 406 | 2022 |
| Want to reduce labeling cost? GPT-3 can help S Wang, Y Liu, Y Xu, C Zhu, M Zeng arXiv preprint arXiv:2108.13487, 2021 | 369 | 2021 |
| Towards a unified multi-dimensional evaluator for text generation M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han arXiv preprint arXiv:2210.07197, 2022 | 346 | 2022 |
| Any-to-any generation via composable diffusion Z Tang, Z Yang, C Zhu, M Zeng, M Bansal Advances in Neural Information Processing Systems 36, 16083-16099, 2023 | 263 | 2023 |
| Few-shot natural language generation for task-oriented dialog B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020 | 253 | 2020 |
| The llama 4 herd: The beginning of a new era of natively multimodal ai innovation AI Meta https://ai. meta. com/blog/llama-4-multimodal-intelligence/, checked on 4 (7 …, 2025 | 249 | 2025 |
| Enhancing Factual Consistency of Abstractive Summarization C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang North American Chapter of the Association for Computational Linguistics …, 2020 | 248* | 2020 |
| FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension HY Huang, C Zhu, Y Shen, W Chen Sixth International Conference on Learning Representations (ICLR), Vancouver …, 2018 | 209 | 2018 |
| Jaket: Joint pre-training of knowledge graph and language understanding D Yu, C Zhu, Y Yang, M Zeng Proceedings of the AAAI conference on artificial intelligence 36 (10), 11630 …, 2022 | 198 | 2022 |
| A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining C Zhu, R Xu, M Zeng, X Huang Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020 | 194 | 2020 |
| Clip-event: Connecting text and images with event structures M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 192 | 2022 |
| Language models with image descriptors are strong few-shot video-language learners Z Wang, M Li, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ... Advances in Neural Information Processing Systems 35, 8483-8497, 2022 | 183 | 2022 |
| Unifying vision, text, and layout for universal document processing Z Tang, Z Yang, G Wang, Y Fang, Y Liu, C Zhu, M Zeng, C Zhang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 182 | 2023 |
| Dialoglm: Pre-trained model for long dialogue understanding and summarization M Zhong, Y Liu, Y Xu, C Zhu, M Zeng Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11765 …, 2022 | 175 | 2022 |
| MediaSum: A large-scale media interview dataset for dialogue summarization C Zhu, Y Liu, J Mei, M Zeng arXiv preprint arXiv:2103.06410, 2021 | 175 | 2021 |
Meng JiangUniversity of Notre DameVerified email at nd.edu
