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Yangyi Chen
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2020 – today
- 2024
- [c33]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CVPR 2024: 14239-14250 - [c32]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. EMNLP 2024: 5985-5998 - [c31]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR 2024 - [c30]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR 2024 - [c29]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. ICML 2024 - [c28]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c27]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. NAACL-HLT 2024: 192-210 - [c26]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [i25]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. CoRR abs/2402.01030 (2024) - [i24]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. CoRR abs/2405.20974 (2024) - [i23]Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji:
A Single Transformer for Scalable Vision-Language Modeling. CoRR abs/2407.06438 (2024) - [i22]Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji:
Scaling Laws for Predicting Downstream Performance in LLMs. CoRR abs/2410.08527 (2024) - 2023
- [j5]Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. Trans. Assoc. Comput. Linguistics 11: 1608-1623 (2023) - [c25]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. ACL (1) 2023: 1343-1367 - [c24]Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei:
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. ACL (Findings) 2023: 7132-7146 - [c23]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 - [c22]Yangyi Chen, Xingyao Wang, Heng Ji:
Making Pre-trained Language Models both Task-solvers and Self-calibrators. ACL (Findings) 2023: 9845-9862 - [c21]Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. EMNLP 2023: 7470-7483 - [c20]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP 2023: 13342-13357 - [c19]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: Benchmarks, Analysis, and LLMs Evaluations. NeurIPS 2023 - [i21]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) - [i20]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) - [i19]Yangyi Chen, Xingyao Wang, Heng Ji:
Making Pre-trained Language Models both Task-solvers and Self-calibrators. CoRR abs/2307.11316 (2023) - [i18]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. CoRR abs/2309.04461 (2023) - [i17]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR abs/2309.10691 (2023) - [i16]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR abs/2309.17428 (2023) - [i15]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR abs/2311.09677 (2023) - [i14]Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng:
Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. CoRR abs/2311.09731 (2023) - [i13]Yangyi Chen, Karan Sikka, Michael Cogswell, Heng Ji, Ajay Divakaran:
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. CoRR abs/2311.10081 (2023) - [i12]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. CoRR abs/2311.13258 (2023) - 2022
- [c18]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 - [c17]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 - [c16]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. NAACL-HLT (Findings) 2022: 1799-1810 - [c15]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. NeurIPS 2022 - [c14]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 - [i11]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. CoRR abs/2204.05239 (2022) - [i10]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. CoRR abs/2206.08514 (2022) - [i9]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. CoRR abs/2210.10683 (2022) - [i8]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. CoRR abs/2211.00151 (2022) - 2021
- [c13]Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun:
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. ACL/IJCNLP (1) 2021: 443-453 - [c12]Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun:
Automatic Construction of Sememe Knowledge Bases via Dictionaries. ACL/IJCNLP (Findings) 2021: 4673-4686 - [c11]Le Tong, Yangyi Chen, Xin Zhou, Yifu Sun:
QoE-Fairness Tradeoff Scheme for Dynamic Spectrum Allocation Based on Deep Reinforcement Learning. CSAE 2021: 62:1-62:7 - [c10]Yangyi Chen, Jin Su, Wei Wei:
Multi-granularity Textual Adversarial Attack with Behavior Cloning. EMNLP (1) 2021: 4511-4526 - [c9]Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun:
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. EMNLP (1) 2021: 4569-4580 - [c8]Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, Maosong Sun:
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. EMNLP (1) 2021: 9558-9566 - [i7]Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun:
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. CoRR abs/2105.12400 (2021) - [i6]Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun:
Automatic Construction of Sememe Knowledge Bases via Dictionaries. CoRR abs/2105.12585 (2021) - [i5]Yangyi Chen, Jin Su, Wei Wei:
Multi-granularity Textual Adversarial Attack with Behavior Cloning. CoRR abs/2109.04367 (2021) - [i4]Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun:
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. CoRR abs/2110.07139 (2021) - [i3]Yangyi Chen, Fanchao Qi, Zhiyuan Liu, Maosong Sun:
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. CoRR abs/2110.08247 (2021) - [i2]Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei:
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. CoRR abs/2110.15317 (2021) - 2020
- [i1]Fanchao Qi, Yangyi Chen, Mukai Li, Zhiyuan Liu, Maosong Sun:
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. CoRR abs/2011.10369 (2020)
2010 – 2019
- 2019
- [j4]Yangyi Chen, Shaojing Su, Huiwen Yin, Xiaojun Guo, Zhen Zuo, Junyu Wei, Liyin Zhang:
Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks. Sensors 19(9): 2174 (2019) - [j3]Yangyi Chen, Shaojing Su, Junyu Wei:
A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing. Sensors 19(19): 4090 (2019) - [c7]Richard Wu, Xiao Zhang, Xiangling Kong, Yangyi Chen, Rohit Jnagal, Robert Hagmann:
Evaluation of NUMA-Aware Scheduling in Warehouse-Scale Clusters. CLOUD 2019: 475-477 - 2016
- [j2]Stefan Berger, Yangyi Chen, Xin Hu, Dimitrios E. Pendarakis, Josyula R. Rao, Reiner Sailer, Douglas Lee Schales, Marc Ph. Stoecklin:
Closing the loop: Network and in-host monitoring tandem for comprehensive cloud security visibility. IBM J. Res. Dev. 60(4): 10 (2016) - 2015
- [c6]Yangyi Chen, Tongxin Li, XiaoFeng Wang, Kai Chen, Xinhui Han:
Perplexed Messengers from the Cloud: Automated Security Analysis of Push-Messaging Integrations. CCS 2015: 1260-1272 - [c5]Yangyi Chen, Vincent Bindschaedler, XiaoFeng Wang, Stefan Berger, Dimitrios E. Pendarakis:
Elite: Automatic Orchestration of Elastic Detection Services to Secure Cloud Hosting. RAID 2015: 588-614 - 2014
- [j1]Fan Zhang, Wenbo He, Yangyi Chen, Zhou Li, XiaoFeng Wang, Shuo Chen, Xue Liu:
Thwarting Wi-Fi Side-Channel Analysis through Traffic Demultiplexing. IEEE Trans. Wirel. Commun. 13(1): 86-98 (2014) - 2013
- [c4]Luyi Xing, Yangyi Chen, XiaoFeng Wang, Shuo Chen:
InteGuard: Toward Automatic Protection of Third-Party Web Service Integrations. NDSS 2013 - 2012
- [c3]Yangyi Chen, Bo Peng, XiaoFeng Wang, Haixu Tang:
Large-Scale Privacy-Preserving Mapping of Human Genomic Sequences on Hybrid Clouds. NDSS 2012 - 2011
- [c2]Kehuan Zhang, Xiao-yong Zhou, Yangyi Chen, XiaoFeng Wang, Yaoping Ruan:
Sedic: privacy-aware data intensive computing on hybrid clouds. CCS 2011: 515-526 - [c1]Xiao-yong Zhou, Bo Peng, Yong Fuga Li, Yangyi Chen, Haixu Tang, XiaoFeng Wang:
To Release or Not to Release: Evaluating Information Leaks in Aggregate Human-Genome Data. ESORICS 2011: 607-627
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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