Chenxin An - RankMe

31 papers A* 10B 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models. CoRR Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai
2025	J	`jnl`	Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation. CoRR Yi Lu, Wanxu Zhao, Xin Zhou, Chenxin An, Chenglong Wang, Shuo Li, Yuming Yang, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025	A*	`conf`	Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition. EMNLP Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, Lingpeng Kong
2025	J	`jnl`	PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention. CoRR Lida Chen, Dong Xu, Chenxin An, Xintao Wang, Yikai Zhang, Jiangjie Chen, Zujie Liang, Feng Wei, Jiaqing Liang, Yanghua Xiao, Wei Wang
2025	A*	`conf`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2025	A*	`conf`	Temporal Reasoning Transfer from Text to Video. ICLR Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu
2025	A*	`conf`	VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. CVPR 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
2025	A*	`conf`	Why Does the Effective Context Length of LLMs Fall Short? ICLR Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2024	J	`jnl`	$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. Yitao Liu, Chenxin An, Xipeng Qiu
2024	—	`conf`	L-Eval: Instituting Standardized Evaluation for Long Context Language Models. ACL (1) Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
2024	J	`jnl`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2024	A*	`conf`	Scaling Laws of RoPE-based Extrapolation. ICLR Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
2024	A*	`conf`	Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2024	J	`jnl`	Temporal Reasoning Transfer from Text to Video. CoRR Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu
2024	A*	`conf`	Training-Free Long-Context Scaling of Large Language Models. ICML Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
2024	J	`jnl`	Training-Free Long-Context Scaling of Large Language Models. CoRR Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
2024	J	`jnl`	VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. CoRR 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
2024	J	`jnl`	Why Does the Effective Context Length of LLMs Fall Short? CoRR Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
2023	J	`jnl`	L-Eval: Instituting Standardized Evaluation for Long Context Language Models. CoRR Chenxin An, Shansan Gong, Ming Zhong, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu
2023	J	`jnl`	Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong
2023	J	`jnl`	Scaling Laws of RoPE-based Extrapolation. CoRR Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin
2023	J	`jnl`	Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2022	J	`jnl`	COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization. CoRR Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
2022	B	`conf`	CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. COLING Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
2022	A*	`conf`	CoNT: Contrastive Neural Text Generation. NeurIPS Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
2022	J	`jnl`	CoNT: Contrastive Neural Text Generation. CoRR Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
2022	J	`jnl`	TURNER: The Uncertainty-based Retrieval Framework for Chinese NER. CoRR Zhichao Geng, Hang Yan, Zhangyue Yin, Chenxin An, Xipeng Qiu
2022	J	`jnl`	Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning. CoRR Yitao Liu, Chenxin An, Xipeng Qiu
2021	A*	`conf`	Enhancing Scientific Papers Summarization with Citation Graph. AAAI Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2021	J	`jnl`	Enhancing Scientific Papers Summarization with Citation Graph. CoRR Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
2021	J	`jnl`	RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. CoRR Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu