Zhong, Ming

14 publications

NeurIPS 2025 CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li

NeurIPS 2025 IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer Zi Yang, Lei Qiu, Fang Lyu, Ming Zhong, Zhilei Chai, Haojie Zhou, Huimin Cui, Xiaobing Feng

ICLR 2025 Law of the Weakest Link: Cross Capabilities of Large Language Models Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

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

NeurIPS 2024 ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency Ming Zhong, Fang Lyu, Lulin Wang, Hongna Geng, Lei Qiu, Huimin Cui, Xiaobing Feng

ICLRW 2024 Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-Training Data for Language Models Minhao Jiang, Ken Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo

ICLRW 2024 Learning Stochastic Dynamics from Data Ziheng Guo, Ming Zhong, Igor Cialenco

TMLR 2024 Multi-LoRA Composition for Image Generation Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen

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

IJCAI 2023 Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian

ICCV 2023 Towards Saner Deep Image Registration Bin Duan, Ming Zhong, Yan Yan

AAAI 2022 DialogLM: Pre-Trained Model for Long Dialogue Understanding and Summarization Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

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

ICML 2021 Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni, Jason J Miller, Hongda Qiu, Ming Zhong