Enhancing Scientific Papers Summarization with Citation Graph. - Chenxin An; Ming Zhong 005; Yiran Chen 013; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (AAAI, 2021)

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. - Chenxin An; Ming Zhong 005; Zhichao Geng; Jianqiang Yang; Xipeng Qiu (CoRR, 2021)

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. - Chenxin An; Ming Zhong 005; Zhiyong Wu 003; Qin Zhu; Xuanjing Huang 001; Xipeng Qiu (COLING, 2022)

CoNT: Contrastive Neural Text Generation. - Chenxin An; Jiangtao Feng; Kai Lv 001; Lingpeng Kong; Xipeng Qiu; Xuanjing Huang 001 (NeurIPS, 2022)

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. - Zhichao Geng; Hang Yan 001; Zhangyue Yin; Chenxin An; Xipeng Qiu (CoRR, 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)

Optimizing Non-Autoregressive Transformers with Contrastive Learning. - Chenxin An; Jiangtao Feng; Fei Huang 005; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (CoRR, 2023)

Scaling Laws of RoPE-based Extrapolation. - Xiaoran Liu; Hang Yan 001; 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 005; Xingjian Zhao; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (ACL (1), 2024)

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. - Ming Zhong 005; Chenxin An; Weizhu Chen; Jiawei Han 001; Pengcheng He (ICLR, 2024)

Scaling Laws of RoPE-based Extrapolation. - Xiaoran Liu; Hang Yan 001; Chenxin An; Xipeng Qiu; Dahua Lin (ICLR, 2024)

Training-Free Long-Context Scaling of Large Language Models. - Chenxin An; Fei Huang 005; Jun Zhang 003; Shansan Gong; Xipeng Qiu; Chang Zhou; Lingpeng Kong (ICML, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 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., 2024)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

Temporal Reasoning Transfer from Text to Video. - Lei Li 039; Yuanxin Liu; Linli Yao; Peiyuan Zhang; Chenxin An; Lean Wang; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (ICLR, 2025)

Why Does the Effective Context Length of LLMs Fall Short? - Chenxin An; Jun Zhang 003; Ming Zhong 005; Lei Li 039; Shansan Gong; Yao Luo; Jingjing Xu 001; Lingpeng Kong (ICLR, 2025)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)

PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention. - Lida Chen; Dong Xu; Chenxin An; Xintao Wang 001; Yikai Zhang 004; Jiangjie Chen; Zujie Liang; Feng Wei; Jiaqing Liang; Yanghua Xiao; Wei Wang 009 (CoRR, 2025)

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation. - Yi Lu; Wanxu Zhao; Xin Zhou 012; Chenxin An; Chenglong Wang; Shuo Li; Yuming Yang; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)