Chenxin An
Chenxin An
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L-eval: Instituting standardized evaluation for long context language models
C An, S Gong, M Zhong, M Li, J Zhang, L Kong, X Qiu
arXiv preprint arXiv:2307.11088, 2023
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
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
Retrievalsum: A retrieval enhanced framework for abstractive summarization
C An, M Zhong, Z Geng, J Yang, X Qiu
arXiv preprint arXiv:2109.07943, 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
Scaling laws of rope-based extrapolation
X Liu, H Yan, S Zhang, C An, X Qiu, D Lin
arXiv preprint arXiv:2310.05209, 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
-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
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
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
Optimizing Non-Autoregressive Transformers with Contrastive Learning
C An, J Feng, F Huang, X Qiu, L Kong
arXiv preprint arXiv:2305.13667, 2023
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