Chen, Runjin

7 publications

ICML 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang

TMLR 2025 Inverse Scaling in Test-Time Compute Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez

ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao

NeurIPS 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang

ICML 2024 LLaGA: Large Language and Graph Assistant Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang

ICCV 2019 Explaining Neural Networks Semantically and Quantitatively Runjin Chen, Hao Chen, Jie Ren, Ge Huang, Quanshi Zhang

ICML 2019 Towards a Deep and Unified Understanding of Deep Neural Models in NLP Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie