| L-eval: Instituting standardized evaluation for long context language models C An, S Gong, M Zhong, X Zhao, M Li, J Zhang, L Kong, X Qiu arXiv preprint arXiv:2307.11088, 2023 | 104* | 2023 |
| Cont: Contrastive neural text generation C An, J Feng, K Lv, L Kong, X Qiu, X Huang Advances in Neural Information Processing Systems 35, 2197-2210, 2022 | 47* | 2022 |
| Enhancing scientific papers summarization with citation graph C An, M Zhong, Y Chen, D Wang, X Qiu, X Huang Proceedings of the AAAI conference on artificial intelligence 35 (14), 12498 …, 2021 | 46 | 2021 |
| Retrievalsum: A retrieval enhanced framework for abstractive summarization C An, M Zhong, Z Geng, J Yang, X Qiu arXiv preprint arXiv:2109.07943, 2021 | 24 | 2021 |
| Colo: A contrastive learning based re-ranking framework for one-stage summarization C An, M Zhong, Z Wu, Q Zhu, X Huang, X Qiu arXiv preprint arXiv:2209.14569, 2022 | 20 | 2022 |
| Training-free long-context scaling of large language models C An, F Huang, J Zhang, S Gong, X Qiu, C Zhou, L Kong arXiv preprint arXiv:2402.17463, 2024 | 19 | 2024 |
| Scaling laws of rope-based extrapolation X Liu, H Yan, S Zhang, C An, X Qiu, D Lin arXiv preprint arXiv:2310.05209, 2023 | 10 | 2023 |
| Turner: The uncertainty-based retrieval framework for chinese ner Z Geng, H Yan, Z Yin, C An, X Qiu arXiv preprint arXiv:2202.09022, 2022 | 7 | 2022 |
| -Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning Y Liu, C An, X Qiu Frontiers of Computer Science 18 (4), 184320, 2024 | 6 | 2024 |
| Why Does the Effective Context Length of LLMs Fall Short? C An, J Zhang, M Zhong, L Li, S Gong, Y Luo, J Xu, L Kong arXiv preprint arXiv:2410.18745, 2024 | 1 | 2024 |
| Temporal Reasoning Transfer from Text to Video L Li, Y Liu, L Yao, P Zhang, C An, L Wang, X Sun, L Kong, Q Liu arXiv preprint arXiv:2410.06166, 2024 | 1 | 2024 |
| Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective M Zhong, C An, W Chen, J Han, P He arXiv preprint arXiv:2310.11451, 2023 | 1 | 2023 |
| Scaling Diffusion Language Models via Adaptation from Autoregressive Models S Gong, S Agarwal, Y Zhang, J Ye, L Zheng, M Li, C An, P Zhao, W Bi, ... arXiv preprint arXiv:2410.17891, 2024 | | 2024 |
| Optimizing Non-Autoregressive Transformers with Contrastive Learning C An, J Feng, F Huang, X Qiu, L Kong arXiv preprint arXiv:2305.13667, 2023 | | 2023 |
Ming ZhongUniversity of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
