Ding, Ning

44 publications

ICLR 2026 Context and Diversity Matter: The Emergence of In-Context Learning in World Models Fan Wang, Zhiyuan Chen, Yuxuan Zhong, Sunjian Zheng, Pengtao Shao, Bo Yu, Shaoshan Liu, Jianan Wang, Ning Ding, Yang Cao, Yu Kang

ICLR 2026 FlowRL: Matching Reward Distributions for LLM Reasoning Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

ICLR 2026 From F(x) and G(x) to F(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng

ICLR 2026 How Far Can Unsupervised RLVR Scale LLM Training? Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Lifan Yuan, Bowen Zhou, Zhiyuan Liu, Ning Ding

ICLR 2026 LFQA-E: Carefully Benchmarking Long-Form QA Evaluation Yuchen Fan, Chen Ling, Xin Zhong, Shuo Zhang, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Zhizhou He, Cheng Huang, Gang Chen, Ning Ding, Bowen Zhou

ICLR 2026 MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference Kaiyan Zhang, Kai Tian, Runze Liu, Sihang Zeng, Xuekai Zhu, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Yuru Wang, Jianyu Wang, Ermo Hua, Xinwei Long, Junqi Gao, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Ning Ding, Biqing Qi, Bowen Zhou

ICLR 2026 SCI-Verifier: Scientific Verifier with Thinking Shenghe Zheng, Chenyu Huang, Fangchen Yu, Junchi Yao, Jingqi Ye, Tao Chen, Yun Luo, Ning Ding, Lei Bai, Ganqu Cui, Peng Ye

ICLR 2026 SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Yang Zhaohui, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding

ICLR 2025 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 DePass: Unified Feature Attributing by Simple Decomposed Forward Pass Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou

ICML 2025 Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou

ICML 2025 Free Process Rewards Without Process Labels Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

ICML 2025 How to Synthesize Text Data Without Model Collapse? Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou

NeurIPS 2025 Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin

ICML 2025 MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

ICLR 2025 OpenPRM: Building Open-Domain Process-Based Reward Models with Preference Trees Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

NeurIPS 2025 Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning Ding, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang

NeurIPS 2025 Scaling Physical Reasoning with the PHYSICS Dataset Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye

CVPRW 2025 Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning Yusaku Takama, Ning Ding, Tatsuya Yokota, Toru Tamaki

NeurIPS 2025 TTRL: Test-Time Reinforcement Learning Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, Yuchen Zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou

NeurIPS 2025 The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training Weize Chen, Jiarui Yuan, Tailin Jin, Ning Ding, Huimin Chen, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

ICLR 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li

ICML 2024 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang

NeurIPS 2024 MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang

ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

CVPRW 2024 TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-Pitch Videos Atom Scott, Ikuma Uchida, Ning Ding, Rikuhei Umemoto, Rory P. Bunker, Ren Kobayashi, Takeshi Koyama, Masaki Onishi, Yoshinari Kameda, Keisuke Fujii

ICML 2024 ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun

NeurIPS 2024 UltraMedical: Building Specialized Generalists in Biomedicine Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou

CVPR 2023 CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie

CVPR 2023 Network Expansion for Practical Training Acceleration Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang

ECCVW 2022 Incorporating Self-Attention Mechanism and Multi-Task Learning into Scene Text Detection Ning Ding, Liangrui Peng, Changsong Liu, Yuqi Zhang, Ruixue Zhang, Jie Li

CVPR 2022 Source-Free Domain Adaptation via Distribution Estimation Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao

NeurIPS 2022 Sparse Structure Search for Delta Tuning Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun

CVPR 2022 Upright-Net: Learning Upright Orientation for 3D Point Cloud Xufang Pang, Feng Li, Ning Ding, Xiaopin Zhong

ICLR 2021 Prototypical Representation Learning for Relation Extraction Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang

IJCAI 2020 Infobox-to-Text Generation with Tree-like Planning Based Attention Network Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng

AAAI 2020 Integrating Linguistic Knowledge to Sentence Paraphrase Generation Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao

ECCV 2020 Length-Controllable Image Captioning Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu

ECCV 2020 TP-LSD: Tri-Points Based Line Segment Detector Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu

IJCAI 2020 Triple-to-Text Generation with an Anchor-to-Prototype Framework Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen

ALT 2017 PAC Learning Depth-3 $\textrm{AC}^0$ Circuits of Bounded Top Fanin Ning Ding, Yanli Ren, Dawu Gu

AAAI 2014 On Computing Optimal Strategies in Open List Proportional Representation: The Two Parties Case Ning Ding, Fangzhen Lin