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Chenxin An
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2020 – today
- 2024
- [j1]Yitao Liu, Chenxin An, Xipeng Qiu:
$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. 18(4) (2024) - [c7]Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu:
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. ACL (1) 2024: 14388-14411 - [c6]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR 2024 - [c5]Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin:
Scaling Laws of RoPE-based Extrapolation. ICLR 2024 - [c4]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. ICML 2024 - [i14]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. CoRR abs/2402.17463 (2024) - [i13]Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu:
Temporal Reasoning Transfer from Text to Video. CoRR abs/2410.06166 (2024) - [i12]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - [i11]Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong:
Why Does the Effective Context Length of LLMs Fall Short? CoRR abs/2410.18745 (2024) - 2023
- [i10]Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong:
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR abs/2305.13667 (2023) - [i9]Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu:
L-Eval: Instituting Standardized Evaluation for Long Context Language Models. CoRR abs/2307.11088 (2023) - [i8]Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin:
Scaling Laws of RoPE-based Extrapolation. CoRR abs/2310.05209 (2023) - [i7]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR abs/2310.11451 (2023) - 2022
- [c3]Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu:
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. COLING 2022: 5783-5793 - [c2]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. NeurIPS 2022 - [i6]Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu:
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. CoRR abs/2202.09022 (2022) - [i5]Yitao Liu, Chenxin An, Xipeng Qiu:
Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning. CoRR abs/2202.09817 (2022) - [i4]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. CoRR abs/2205.14690 (2022) - [i3]Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu:
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization. CoRR abs/2209.14569 (2022) - 2021
- [c1]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. AAAI 2021: 12498-12506 - [i2]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. CoRR abs/2104.03057 (2021) - [i1]Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu:
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. CoRR abs/2109.07943 (2021)
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