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Ning Ding 0002
Person information
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Ning Ding — disambiguation page
- Ning Ding 0001 — Shanghai Jiao Tong University, Shanghai, China
- Ning Ding 0003
— Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China
- Ning Ding 0004 — Purdue University, West Lafayette, IN, USA
- Ning Ding 0005 — University of Louisiana at Lafayette, LA, USA
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2020 – today
- 2024
- [j7]Bowen Zhou, Ning Ding
Generative AI for Complex Scenarios: Language Models are Sequence Processors. Int. J. Artif. Intell. Robotics Res. 1(1): 2401001:1-2401001:5 (2024) - [j6]Yujia Qin
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3631-3643 (2024) - [c38]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: 2081-2107 - [c37]Kaiyan Zhang, Jianyu Wang
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. ACL (1) 2024: 4295-4312 - [c36]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: 11929-11942 - [c35]Yulin Chen
Empowering Private Tutoring by Chaining Large Language Models. CIKM 2024: 354-364 - [c34]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP 2024: 1437-1454 - [c33]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. EMNLP 2024: 14588-14599 - [c32]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 - [c31]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 - [c30]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML 2024 - [i45]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. CoRR abs/2402.04588 (2024) - [i44]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 abs/2402.19085 (2024) - [i43]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 abs/2403.03129 (2024) - [i42]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 abs/2403.08281 (2024) - [i41]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 abs/2404.02078 (2024) - [i40]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 abs/2404.06395 (2024) - [i39]Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. CoRR abs/2405.11870 (2024) - [i38]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 abs/2406.03949 (2024) - [i37]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 abs/2406.11721 (2024) - [i36]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 abs/2406.12295 (2024) - [i35]Yuchen Fan, Xin Zhong, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Ning Ding, Bowen Zhou:
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations. CoRR abs/2410.01945 (2024) - [i34]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. CoRR abs/2411.02063 (2024) - 2023
- [j5]Wanjun Zhong
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j4]Ning Ding
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023) - [c29]Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun:
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. ACL (2) 2023: 270-282 - [c28]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. ACL (demo) 2023: 274-281 - [c27]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. ACL (Findings) 2023: 895-917 - [c26]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) 2023: 8968-8988 - [c25]Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. ACL (1) 2023: 15072-15087 - [c24]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. ACL (1) 2023: 15428-15444 - [c23]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP 2023: 3029-3051 - [c22]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. EMNLP 2023: 4133-4145 - [c21]Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. EMNLP 2023: 9612-9637 - [c20]Yusheng Su, Chi-Min Chan
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [i33]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. CoRR abs/2304.08354 (2023) - [i32]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 abs/2305.06849 (2023) - [i31]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. CoRR abs/2305.14233 (2023) - [i30]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. CoRR abs/2305.19500 (2023) - [i29]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun:
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. CoRR abs/2306.02320 (2023) - [i28]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, Nianyi Lin, Kaifeng Yun, Linlu Gong, 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. CoRR abs/2306.09296 (2023) - [i27]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. CoRR abs/2307.03084 (2023) - [i26]Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Empowering Private Tutoring by Chaining Large Language Models. CoRR abs/2309.08112 (2023) - [i25]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu
UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR abs/2310.01377 (2023) - [i24]Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Unlock Predictable Scaling from Emergent Abilities. CoRR abs/2310.03262 (2023) - [i23]Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. CoRR abs/2310.15477 (2023) - [i22]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR abs/2311.09868 (2023) - [i21]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. CoRR abs/2311.11696 (2023) - 2022
- [j3]Xu Han
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3: 182-192 (2022) - [c19]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. ACL (demo) 2022: 105-113 - [c18]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL (1) 2022: 2225-2240 - [c17]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. ACL (1) 2022: 7014-7024 - [c16]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: 926-941 - [c15]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: 3348-3366 - [c14]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: 6888-6901 - [c13]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [c12]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Delta Tuning. NeurIPS 2022 - [i20]Ning Ding, Yujia Qin, Guang Yang
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR abs/2203.06904 (2022) - [i19]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. CoRR abs/2203.09770 (2022) - [i18]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i17]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Parameter-Efficient Tuning. CoRR abs/2206.07382 (2022) - [i16]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i15]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 Delta Tuning. CoRR abs/2210.13311 (2022) - [i14]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. CoRR abs/2211.05319 (2022) - [i13]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 abs/2211.07342 (2022) - [i12]Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. CoRR abs/2212.08408 (2022) - 2021
- [j2]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j1]Ying Shen
Modeling Relation Paths for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 33(11): 3607-3617 (2021) - [c11]Dong Wang, Ning Ding, Piji Li, Haitao Zheng:
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. ACL/IJCNLP (1) 2021: 2332-2342 - [c10]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-shot Named Entity Recognition Dataset. ACL/IJCNLP (1) 2021: 3198-3213 - [c9]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [i11]Yinghui Li, Ruiyang Liu
Learning Purified Feature Representations from Task-irrelevant Labels. CoRR abs/2102.10955 (2021) - [i10]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. CoRR abs/2103.11647 (2021) - [i9]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-Shot Named Entity Recognition Dataset. CoRR abs/2105.07464 (2021) - [i8]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. CoRR abs/2105.11259 (2021) - [i7]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i6]Dong Wang, Ning Ding, Piji Li, Haitao Zheng:
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. CoRR abs/2107.00440 (2021) - [i5]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. CoRR abs/2108.02035 (2021) - [i4]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-Learning for Fine-Grained Entity Typing. CoRR abs/2108.10604 (2021) - [i3]Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR abs/2110.07867 (2021) - [i2]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. CoRR abs/2111.01998 (2021) - 2020
- [c8]Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao:
Integrating Linguistic Knowledge to Sentence Paraphrase Generation. AAAI 2020: 8368-8375 - [c7]Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng:
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. ACL 2020: 6662-6671 - [c6]Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng:
Infobox-to-text Generation with Tree-like Planning based Attention Network. IJCAI 2020: 3773-3779 - [c5]Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen:
Triple-to-Text Generation with an Anchor-to-Prototype Framework. IJCAI 2020: 3780-3786 - [c4]Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN 2020: 1-8 - [i1]Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng:
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. CoRR abs/2007.08186 (2020)
2010 – 2019
- 2019
- [c3]Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen:
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge. ACL (1) 2019: 4377-4386 - [c2]Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin:
Event Detection with Trigger-Aware Lattice Neural Network. EMNLP/IJCNLP (1) 2019: 347-356 - 2013
- [c1]Ning Ding, Peter B. Luh, Hui Zhang, Tao Chen:
Emergency evacuation simulation in staircases considering evacuees' physical and psychological status. CASE 2013: 741-746
Coauthor Index
[j6] [c38] [c36] [c35] [c34] [c32] [c31] [c30] [i45] [i44] [i42] [i41] [i40] [i38] [i37] [j5] [j4] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j2] [c10] [i9] [i8] [i7] [i5] [i4] [i3] [i2] [c3] [c2]
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