Chenxin An
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution. | Zhenyu He, Qingping Yang, Wei Shen, Xiaojian Zhong, Kechi Zhang, Chenxin An, Wenlei Shi, Tianle Cai, Di He, Jiaze Chen, Jingjing Xu |
| 2026 | ACL | AgentV-RL: Scaling Reward Modeling with Agentic Verifier. | Jiazheng Zhang, Ziche Fu, Zhiheng Xi, Wenqing Jing, Mingxu Chai, Wei He, Guoqiang Zhang, Chenghao Fan, Chenxin An, Wenxiang Chen, Zhicheng Liu, Haojie Pan, Dingwei Zhu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition. | Chenxin An, Zhihui Xie, Xiaonan Li, Ming Zhong, Shansan Gong, Lei Li, Jun Zhang, Jingjing Xu, Lingpeng Kong |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2024 | ACL | 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 |
| 2024 | ICLR | Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. | Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He |
| 2024 | ICLR | Scaling Laws of RoPE-based Extrapolation. | Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin |
| 2024 | ICML | Training-Free Long-Context Scaling of Large Language Models. | Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong |
| 2022 | COLING | CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. | Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu |
| 2021 | AAAI | Enhancing Scientific Papers Summarization with Citation Graph. | Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |