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ORCIDMaosong Sun 0001
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (PhD 2004): City University of Hong Kong
Other persons with the same name
- Maosong Sun (aka: Mao-song Sun) — disambiguation page
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2020 – today
- 2023
[j52]Zhengyan Zhang
, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks. Mach. Intell. Res. 20(2): 180-193 (2023)- [j51]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): 220-235 (2023) - [j50]Yu Zhang, Ziya Zhou, Xiaobing Li, Feng Yu, Maosong Sun:
CCOM-HuQin: An Annotated Multimodal Chinese Fiddle Performance Dataset. Trans. Int. Soc. Music. Inf. Retr. 6(1): 60-74 (2023) - [j49]Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu:
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2271-2283 (2023) - [c236]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c235]Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun:
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. ACL (2) 2023: 270-282 - [c234]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 - [c233]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. ACL (Findings) 2023: 4066-4083 - [c232]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. ACL (1) 2023: 5626-5643 - [c231]Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu:
Continual Knowledge Distillation for Neural Machine Translation. ACL (1) 2023: 7978-7996 - [c230]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. ACL (1) 2023: 8272-8285 - [c229]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. ACL (1) 2023: 8341-8355 - [c228]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. ACL (1) 2023: 8968-8988 - [c227]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c226]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. ACL (Findings) 2023: 10400-10420 - [c225]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. ACL (1) 2023: 10641-10658 - [c224]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. ACL (Findings) 2023: 11403-11426 - [c223]Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. ACL (1) 2023: 15072-15087 - [c222]Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu:
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. ACL (1) 2023: 15233-15256 - [c221]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. ACL (1) 2023: 15713-15729 - [c220]Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen:
MUSER: A Multi-View Similar Case Retrieval Dataset. CIKM 2023: 5336-5340 - [e13]Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen:
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings. Lecture Notes in Computer Science 14232, Springer 2023, ISBN 978-981-99-6206-8 [contents] - [d1]Yu Zhang, Ziya Zhou, Xiaobing Li, Feng Yu, Maosong Sun:
CCOM-HuQin: an Annotated Multimodal Chinese Fiddle Performance Dataset. Zenodo, 2023
- [i193]Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. CoRR abs/2302.07324 (2023) - [i192]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) - [i191]Deming Ye, Yankai Lin, Zhengyan Zhang, Maosong Sun:
UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models. CoRR abs/2305.01624 (2023) - [i190]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) - [i189]Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He:
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. CoRR abs/2305.08322 (2023) - [i188]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. CoRR abs/2305.08702 (2023) - [i187]Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun:
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots. CoRR abs/2305.11540 (2023) - [i186]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) - [i185]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. CoRR abs/2305.15483 (2023) - [i184]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. CoRR abs/2305.17660 (2023) - [i183]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. CoRR abs/2305.17670 (2023) - [i182]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR abs/2305.17691 (2023) - [i181]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. CoRR abs/2305.18390 (2023) - [i180]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i179]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) - [i178]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. CoRR abs/2306.04618 (2023) - [i177]Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu:
Interactive Molecular Discovery with Natural Language. CoRR abs/2306.11976 (2023) - [i176]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. CoRR abs/2307.02394 (2023) - [i175]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) - [i174]Weilin Zhao, Yuxiang Huang, Xu Han, Zhiyuan Liu, Zhengyan Zhang, Maosong Sun:
CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models. CoRR abs/2307.07705 (2023) - [i173]Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, Maosong Sun:
Communicative Agents for Software Development. CoRR abs/2307.07924 (2023) - [i172]Shihao Liang, Kunlun Zhu, Runchu Tian, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun:
Exploring Format Consistency for Instruction Tuning. CoRR abs/2307.15504 (2023) - [i171]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i170]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR abs/2308.10848 (2023) - [i169]Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun:
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. CoRR abs/2308.12038 (2023) - [i168]Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Large Language Model as Autonomous Decision Maker. CoRR abs/2308.12519 (2023) - [i167]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) - [i166]Kunlun Zhu, Shihao Liang, Xu Han, Zhi Zheng, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation. CoRR abs/2309.10326 (2023) - [i165]Chenyang Song, Xu Han, Zheni Zeng, Kuai Li, Chen Chen, Zhiyuan Liu, Maosong Sun, Tao Yang:
ConPET: Continual Parameter-Efficient Tuning for Large Language Models. CoRR abs/2309.14763 (2023) - [i164]Tianyu Yu, Jinyi Hu, Yuan Yao, Haoye Zhang, Yue Zhao, Chongyi Wang, Shan Wang, Yinxv Pan, Jiao Xue, Dahai Li, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants. CoRR abs/2310.00653 (2023) - [i163]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun:
UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR abs/2310.01377 (2023) - [i162]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) - [i161]Yile Wang, Peng Li, Maosong Sun, Yang Liu:
Self-Knowledge Guided Retrieval Augmentation for Large Language Models. CoRR abs/2310.05002 (2023) - [i160]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR abs/2310.12818 (2023) - [i159]Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen:
MUSER: A Multi-View Similar Case Retrieval Dataset. CoRR abs/2310.15602 (2023) - [i158]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR abs/2310.15724 (2023) - [i157]Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ProAgent: From Robotic Process Automation to Agentic Process Automation. CoRR abs/2311.10751 (2023) - [i156]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
- [j48]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3: 182-192 (2022) - [j47]Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Maosong Sun:
Data augmentation for low-resource languages NMT guided by constrained sampling. Int. J. Intell. Syst. 37(1): 30-51 (2022) - [j46]Zhixing Tan, Zeyuan Yang, Meng Zhang, Qun Liu, Maosong Sun, Yang Liu:
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 958-967 (2022) - [j45]Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-Scale Information Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3655-3668 (2022) - [j44]Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu:
A Unified Understanding of Deep NLP Models for Text Classification. IEEE Trans. Vis. Comput. Graph. 28(12): 4980-4994 (2022) - [c219]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 - [c218]Yining Ye, Fanchao Qi, Zhiyuan Liu, Maosong Sun:
Going "Deeper": Structured Sememe Prediction via Transformer with Tree Attention. ACL (Findings) 2022: 128-138 - [c217]Fanchao Qi, Chuancheng Lv, Zhiyuan Liu, Xiaojun Meng, Maosong Sun, Hai-Tao Zheng:
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information. ACL (Findings) 2022: 158-168 - [c216]Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, Maosong Sun:
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. ACL (Findings) 2022: 183-201 - [c215]Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun:
BMInf: An Efficient Toolkit for Big Model Inference and Tuning. ACL (demo) 2022: 224-230 - [c214]Fanchao Qi, Yanhui Yang, Jing Yi, Zhili Cheng, Zhiyuan Liu, Maosong Sun:
QuoteR: A Benchmark of Quote Recommendation for Writing. ACL (1) 2022: 336-348 - [c213]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. ACL (2) 2022: 523-529 - [c212]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) 2022: 877-890 - [c211]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 - [c210]Xu Han, Yuqi Luo, Weize Chen, Zhiyuan Liu, Maosong Sun, Botong Zhou, Fei Hao, Suncong Zheng:
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages. ACL (1) 2022: 2241-2250 - [c209]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) 2022: 2789-2810 - [c208]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. ACL (Findings) 2022: 3468-3473 - [c207]Deming Ye, Yankai Lin, Peng Li, Maosong Sun:
Packed Levitated Marker for Entity and Relation Extraction. ACL (1) 2022: 4904-4917 - [c206]Biru Zhu, Yujia Qin, Fanchao Qi, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models. ACL (1) 2022: 5060-5072 - [c205]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. ACL (1) 2022: 5672-5686 - [c204]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c203]Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. ECCV (27) 2022: 409-424 - [c202]Zhengyan Zhang, Baitao Gong, Yingfa Chen, Xu Han, Guoyang Zeng, Weilin Zhao, Yanxu Chen, Zhiyuan Liu, Maosong Sun:
BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP (Demos) 2022: 396-405 - [c201]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 - [c200]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. EMNLP 2022: 3665-3679 - [c199]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation. EMNLP (Findings) 2022: 6306-6320 - [c198]Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Exploring Mode Connectivity for Pre-trained Language Models. EMNLP 2022: 6726-6746 - [c197]Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu:
FPT: Improving Prompt Tuning Efficiency via Progressive Training. EMNLP (Findings) 2022: 6877-6887 - [c196]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching. EMNLP 2022: 10799-10810 - [c195]Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie:
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention. EMNLP 2022: 10834-10858 - [c194]Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. EMNLP 2022: 11104-11117 - [c193]Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, Maosong Sun:
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. EMNLP 2022: 11215-11221 - [c192]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. EMNLP 2022: 11222-11237 - [c191]Jiafeng Liu, Yuanliang Dong, Zehua Cheng, Xinran Zhang, Xiaobing Li, Feng Yu, Maosong Sun:
Symphony Generation with Permutation Invariant Language Model. ISMIR 2022: 551-558 - [c190]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation. NAACL-HLT 2022: 697-716 - [c189]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. NAACL-HLT 2022: 3921-3937 - [c188]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [c187]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. NeurIPS 2022 - [c186]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Delta Tuning. NeurIPS 2022 - [c185]Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu:
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022 - [e12]Maosong Sun, Guilin Qi, Kang Liu, Jiadong Ren, Bin Xu, Yansong Feng, Yongbin Liu, Yubo Chen:
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy - 7th China Conference, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers. Communications in Computer and Information Science 1669, Springer 2022, ISBN 978-981-19-7595-0 [contents] - [e11]