Ning Ding

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 26

Top Topics

Relation Extraction

Question Answering

Top Venues

Publications

Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) (2024)
Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR (2024)
Bowen Zhou, Ning Ding
Generative AI for Complex Scenarios: Language Models are Sequence Processors. Int. J. Artif. Intell. Robotics Res. 1 (1) (2024)
Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR (2024)
Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. CoRR (2024)
Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun
Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity. CoRR (2024)
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, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR (2024)
Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR (2024)
Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR (2024)
Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. ACL (1) (2024)
Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. ACL (1) (2024)
Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Predicting Emergent Abilities with Infinite Resolution Evaluation. ICLR (2024)
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
Advancing LLM Reasoning Generalists with Preference Trees. CoRR (2024)
Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. CoRR (2024)
Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. CoRR (2024)
Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR (2023)
Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
Improving task generalization via unified schema prompt. AI Open 4 (2023)
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5 (3) (2023)
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP (2022)
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3 (2022)
Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie
Few-shot Classification with Hypersphere Modeling of Prototypes. CoRR (2022)
Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun
Decoder Tuning: Efficient Language Understanding as Decoding. CoRR (2022)
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. CoRR (2022)
Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim
Prompt-learning for Fine-grained Entity Typing. EMNLP (Findings) (2022)
Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning. EMNLP (Findings) (2022)