An, Chenxin

9 publications

ICLR 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

ICLR 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

CVPR 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

ICLR 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

ICLR 2024 Scaling Laws of RoPE-Based Extrapolation Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin

ICLR 2024 Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He

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

NeurIPS 2022 CoNT: Contrastive Neural Text Generation Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

AAAI 2021 Enhancing Scientific Papers Summarization with Citation Graph Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang