Chenxin An

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Knowledge Transfer

Retrieval Framework

Top Venues

Frontiers Comput. Sci.

Publications

Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
Scaling Laws of RoPE-based Extrapolation. ICLR (2024)
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)
Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
Training-Free Long-Context Scaling of Large Language Models. CoRR (2024)
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)
Yitao Liu, Chenxin An, Xipeng Qiu
Y-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. 18 (4) (2024)
Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR (2023)
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 (2023)
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR (2023)
Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin
Scaling Laws of RoPE-based Extrapolation. CoRR (2023)
Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
CoNT: Contrastive Neural Text Generation. CoRR (2022)
Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. CoRR (2022)
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)
Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
CoNT: Contrastive Neural Text Generation. NeurIPS (2022)
Yitao Liu, Chenxin An, Xipeng Qiu
Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning. CoRR (2022)
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 (2022)
Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. CoRR (2021)
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
Enhancing Scientific Papers Summarization with Citation Graph. AAAI (2021)
Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
Enhancing Scientific Papers Summarization with Citation Graph. CoRR (2021)