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2020 – today
- 2025
[j10]Yuanyuan Li
, Peiyi Wang, Qian Zhang, Keyi Li, Yiyuan Zhang, Longxin Kan, Wenci Xin, Jian Feng, Jianguo Cai, Cecilia Laschi:
Robots Evolved From Non-Euclidean Composite Origami. IEEE Robotics Autom. Lett. 10(4): 3763-3770 (2025)- [c37]Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang:
Instantly Learning Preference Alignment via In-context DPO. NAACL (Long Papers) 2025: 161-178 - [c36]Peiyi Wang, Yaxin Zeng, Yuchen Sun, Zhenwei Ni, Muhammad Sunny Nazeer, Cecilia Laschi:
RL-based Shape Control of Rod-driven Soft Arms Using Strain Models. RoboSoft 2025: 1-7 - [i48]DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jiawei Wang, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li:
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. CoRR abs/2501.12948 (2025) - [i47]Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui:
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. CoRR abs/2502.16109 (2025) - [i46]Zhenwei Ni, Chang Xu, Zhihang Qin, Ceng Zhang, Zhiqiang Tang, Peiyi Wang, Cecilia Laschi:
Origami-Inspired Soft Gripper with Tunable Constant Force Output. CoRR abs/2503.01481 (2025) - [i45]Zijun Liu, Peiyi Wang, Runxin Xu, Shirong Ma, Chong Ruan, Peng Li, Yang Liu, Yu Wu:
Inference-Time Scaling for Generalist Reward Modeling. CoRR abs/2504.02495 (2025) - [i44]Fangwei Zhu, Peiyi Wang, Zhifang Sui:
Chain-of-Thought Tokens are Computer Program Variables. CoRR abs/2505.04955 (2025) - [i43]Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui:
Towards Harmonized Uncertainty Estimation for Large Language Models. CoRR abs/2505.19073 (2025) - 2024
- [c35]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) 2024: 1086-1104 - [c34]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) 2024: 7655-7671 - [c33]Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui:
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. ACL (1) 2024: 9426-9439 - [c32]Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. ACL (1) 2024: 9440-9450 - [c31]Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu:
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. ACL (1) 2024: 14369-14387 - [c30]Zihan Wang, Peiyi Wang, Houfeng Wang:
Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification. LREC/COLING 2024: 17326-17336 - [c29]Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou:
AssistGUI: Task-Oriented PC Graphical User Interface Automation. CVPR 2024: 13289-13298 - [c28]Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui:
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. EMNLP (Findings) 2024: 3287-3301 - [c27]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. EMNLP 2024: 6227-6246 - [c26]Peiyi Wang, Daniel Feliú Talegon, Sheng Guo, Federico Renda, Cecilia Laschi:
Strain-based Modeling of Rod-driven Soft Continuum Robots with Co-located Embedded Sensors. IROS 2024: 10926-10931 - [c25]Junyi Chen, Peiyi Wang, Xinzheng Wu, Wenbo Xiao, Duo Li, Haolan Meng:
A Study of Cognitive Discomfort in Urban Intersection Scenarios Based on Vehicle Occupants' Eye Movement Characteristics. ITSC 2024: 3659-3666 - [i42]Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou:
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. CoRR abs/2401.02954 (2024) - [i41]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR abs/2401.07851 (2024) - [i40]Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo:
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. CoRR abs/2402.03300 (2024) - [i39]Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang:
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization. CoRR abs/2402.09320 (2024) - [i38]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR abs/2402.15527 (2024) - [i37]Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui:
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. CoRR abs/2402.16141 (2024) - [i36]Zihan Wang, Peiyi Wang, Houfeng Wang:
Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification. CoRR abs/2402.18825 (2024) - [i35]Fangwei Zhu, Peiyi Wang, Zhifang Sui:
Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition. CoRR abs/2402.18873 (2024) - [i34]Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu:
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. CoRR abs/2403.00231 (2024) - [i33]DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun, Zihan Wang, et al.:
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. CoRR abs/2405.04434 (2024) - [i32]DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang:
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. CoRR abs/2406.11931 (2024) - [i31]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i30]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i29]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. CoRR abs/2410.09421 (2024) - [i28]Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu:
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. CoRR abs/2411.17451 (2024) - [i27]DeepSeek-AI, Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jiawei Wang, Jin Chen, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, Junxiao Song, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Litong Wang, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qiancheng Wang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, Runxin Xu, Ruoyu Zhang, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Shuting Pan, T. Wang, Tao Yun, Tian Pei, Tianyu Sun, W. L. Xiao, Wangding Zeng:
DeepSeek-V3 Technical Report. CoRR abs/2412.19437 (2024) - 2023
- [j9]Wenli Dai, Yan Cui, Peiyi Wang, Hao Wu, Lei Zhang, Yeping Bian, Yingying Li, Yutao Li, Hairong Hu, Jiaqi Zhao, Dong Xu, Dexing Kong, Yajuan Wang, Lei Xu:
Classification regularized dimensionality reduction improves ultrasound thyroid nodule diagnostic accuracy and inter-observer consistency. Comput. Biol. Medicine 154: 106536 (2023) - [j8]Wenci Xin, Fangmeng Zhu, Peiyi Wang, Zhexin Xie, Zhiqiang Tang, Cecilia Laschi:
Electrical Impedance Tomographic Shape Sensing for Soft Robots. IEEE Robotics Autom. Lett. 8(3): 1555-1562 (2023) - [j7]Zhexin Xie, Muralidharan Mohanakrishnan, Peiyi Wang, Jiaqi Liu, Wenci Xin, Zhiqiang Tang, Li Wen, Cecilia Laschi:
Soft Robotic Arm With Extensible Stiffening Layer. IEEE Robotics Autom. Lett. 8(6): 3597-3604 (2023) - [j6]Yifan Wu, Sheng Guo, Zheqi Yu, Peiyi Wang, Lianzheng Niu, Majun Song:
Design of an optimized gait planning generator for a quadruped robot using the decision tree and random forest workspace model. Robotica 41(12): 3746-3771 (2023) - [c24]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. ACL (Findings) 2023: 10053-10062 - [c23]Caitlin Sales, Peiyi Wang, Yucong Jiang:
An Interactive Tool for Exploring Score-Aligned Performances: Opportunities for Enhanced Music Engagement. Audio Mostly Conference 2023: 30-33 - [c22]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) 2023: 13-26 - [c21]Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui:
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. EMNLP (Findings) 2023: 3909-3925 - [c20]Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui:
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. EMNLP (Findings) 2023: 13209-13221 - [c19]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. EMNLP (Findings) 2023: 14557-14570 - [c18]Weimin Xiong, Yifan Song, Peiyi Wang, Sujian Li:
Rationale-Enhanced Language Models are Better Continual Relation Learners. EMNLP 2023: 15489-15497 - [c17]Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, Longxin Kan, Muralidharan Mohanakrishnan, Cecilia Laschi:
Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments. ICRA 2023: 982-988 - [i26]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. CoRR abs/2305.04636 (2023) - [i25]Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
RepCL: Exploring Effective Representation for Continual Text Classification. CoRR abs/2305.07289 (2023) - [i24]Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. CoRR abs/2305.17926 (2023) - [i23]Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu:
M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. CoRR abs/2306.04387 (2023) - [i22]Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui:
Making Large Language Models Better Reasoners with Alignment. CoRR abs/2309.02144 (2023) - [i21]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR abs/2310.02071 (2023) - [i20]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. CoRR abs/2310.06362 (2023) - [i19]Weimin Xiong, Yifan Song, Peiyi Wang, Sujian Li:
Rationale-Enhanced Language Models are Better Continual Relation Learners. CoRR abs/2310.06547 (2023) - [i18]Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui:
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. CoRR abs/2310.08309 (2023) - [i17]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. CoRR abs/2310.08860 (2023) - [i16]Peiyi Wang, Lei Li, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui:
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. CoRR abs/2312.08935 (2023) - [i15]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong:
Silkie: Preference Distillation for Large Visual Language Models. CoRR abs/2312.10665 (2023) - [i14]Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou:
ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation. CoRR abs/2312.13108 (2023) - 2022
- [j5]Peiyi Wang, Sheng Guo, Xiangyang Wang, Yifan Wu:
Design and Analysis of a Novel Variable Stiffness Continuum Robot With Built-in Winding-Styled Ropes. IEEE Robotics Autom. Lett. 7(3): 6375-6382 (2022) - [j4]Zhiqiang Tang, Peiyi Wang, Wenci Xin, Cecilia Laschi:
Learning-Based Approach for a Soft Assistive Robotic Arm to Achieve Simultaneous Position and Force Control. IEEE Robotics Autom. Lett. 7(3): 8315-8322 (2022) - [j3]Peiyi Wang, Zhiqiang Tang, Wenci Xin, Zhexin Xie, Sheng Guo, Cecilia Laschi:
Design and Experimental Characterization of a Push-Pull Flexible Rod-Driven Soft-Bodied Robot. IEEE Robotics Autom. Lett. 7(4): 8933-8940 (2022) - [c16]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c15]Zihan Wang, Peiyi Wang, Lianzhe Huang, Xin Sun, Houfeng Wang:
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification. ACL (1) 2022: 7109-7119 - [c14]Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. EMNLP 2022: 3740-3751 - [c13]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. EMNLP 2022: 6264-6278 - [c12]Bo Liu, Lei Liu, Peiyi Wang:
Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering. KSEM (2) 2022: 104-116 - [c11]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c10]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c9]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [i13]Zihan Wang, Peiyi Wang, Lianzhe Huang, Xin Sun, Houfeng Wang:
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification. CoRR abs/2203.03825 (2022) - [i12]Hua Liang, Tianyu Liu, Peiyi Wang, Meng-Liang Rao, Yunbo Cao:
SmartSales: Sales Script Extraction and Analysis from Sales Chatlog. CoRR abs/2204.08811 (2022) - [i11]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i10]Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. CoRR abs/2204.13413 (2022) - [i9]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i8]Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. CoRR abs/2209.00243 (2022) - [i7]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. CoRR abs/2210.04497 (2022) - 2021
- [j2]Peiyi Wang, Lin You, Gengran Hu, Liqin Hu, Zhihua Jian, Chaoping Xing:
Biometric key generation based on generated intervals and two-layer error correcting technique. Pattern Recognit. 111: 107733 (2021) - [c8]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c7]Peiyi Wang, Sheng Guo, Fuqun Zhao, Xiangyang Wang, Majun Song:
Follow-the-Leader Deployment of the Interlaced Continuum Robot Based on the Unpowered Lock Mechanism. ICIRA (3) 2021: 448-459 - [c6]Majun Song, Sheng Guo, Xiangyang Wang, Peiyi Wang, Yifan Wu:
Gait-based Design and Human-machine Simulation of a Powered Hybrid Transfemoral Prosthetic Mechanism. M2VIP 2021: 157-162 - [i6]Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang:
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. CoRR abs/2102.08549 (2021) - [i5]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i4]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i3]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i2]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021)
2010 – 2019
- 2019
- [j1]Shengyu Hao, Peiyi Wang, Yanzhu Hu:
Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction. Inf. 10(2): 81 (2019) - [c5]Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang:
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS 2019: 62-73 - [c4]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) 2019: 363-367 - [c3]Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao:
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) 2019: 128-140 - [c2]Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun:
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339 - [c1]Peiyi Wang, Lixia Deng, Xiujun Wu:
An Automated Fact Checking System Using Deep Learning Through Word Embedding. SSCI 2019: 3246-3250 - [i1]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR abs/1906.01511 (2019)
Coauthor Index
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