Chenxin An

According to our database, Chenxin An authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation.

Yi Lu, Wanxu Zhao, Xin Zhou, Chenxin An, Chenglong Wang, Shuo Li, Yuming Yang, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, April, 2025

PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention.

Lida Chen, Dong Xu, Chenxin An, Xintao Wang, Yikai Zhang, Jiangjie Chen, Zujie Liang, Feng Wei, Jiaqing Liang, Yanghua Xiao, Wei Wang

CoRR, March, 2025

Scaling Diffusion Language Models via Adaptation from Autoregressive Models.

Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Why Does the Effective Context Length of LLMs Fall Short?

Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Temporal Reasoning Transfer from Text to Video.

Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning.

Yitao Liu, Chenxin An, Xipeng Qiu

Frontiers Comput. Sci., August, 2024

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu

CoRR, 2024

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scaling Laws of RoPE-based Extrapolation.

Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.

Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Scaling Laws of RoPE-based Extrapolation.

Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin

CoRR, 2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu

CoRR, 2023

Optimizing Non-Autoregressive Transformers with Contrastive Learning.

Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong

CoRR, 2023

2022

Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning.

Yitao Liu, Chenxin An, Xipeng Qiu

CoRR, 2022

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER.

Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu

CoRR, 2022

CoNT: Contrastive Neural Text Generation.

Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization.

Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization.

Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu

CoRR, 2021

Enhancing Scientific Papers Summarization with Citation Graph.

Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021