Peiyi Wang

According to our database, Peiyi Wang authored at least 65 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

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

CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

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

CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

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

CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

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

CoRR, 2024

Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition.

Fangwei Zhu, Peiyi Wang, Zhifang Sui

CoRR, 2024

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization.

Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui

CoRR, 2024

ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization.

Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang

CoRR, 2024

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

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

CoRR, 2024

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming.

Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment.

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AssistGUI: Task-Oriented PC Graphical User Interface Automation.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Houfeng Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Design of an optimized gait planning generator for a quadruped robot using the decision tree and random forest workspace model.

Yifan Wu, Sheng Guo, Zheqi Yu, Peiyi Wang, Lianzheng Niu, Majun Song

Robotica, December, 2023

Soft Robotic Arm With Extensible Stiffening Layer.

Zhexin Xie, Muralidharan Mohanakrishnan, Peiyi Wang, Jiaqi Liu, Wenci Xin, Zhiqiang Tang, Li Wen, Cecilia Laschi

IEEE Robotics Autom. Lett., June, 2023

Electrical Impedance Tomographic Shape Sensing for Soft Robots.

Wenci Xin, Fangmeng Zhu, Peiyi Wang, Zhexin Xie, Zhiqiang Tang, Cecilia Laschi

IEEE Robotics Autom. Lett., March, 2023

Classification regularized dimensionality reduction improves ultrasound thyroid nodule diagnostic accuracy and inter-observer consistency.

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

Comput. Biol. Medicine, March, 2023

ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation.

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

CoRR, 2023

Silkie: Preference Distillation for Large Visual Language Models.

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong

CoRR, 2023

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

Peiyi Wang, Lei Li, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui

CoRR, 2023

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2023

Making Large Language Models Better Reasoners with Alignment.

Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui

CoRR, 2023

M³IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2023

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui

CoRR, 2023

RepCL: Exploring Effective Representation for Continual Text Classification.

Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li

CoRR, 2023

Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments.

Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, Longxin Kan, Muralidharan Mohanakrishnan, Cecilia Laschi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning.

Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rationale-Enhanced Language Models are Better Continual Relation Learners.

Weimin Xiong, Yifan Song, Peiyi Wang, Sujian Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation.

Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective.

Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Guiding AMR Parsing with Reverse Graph Linearization.

Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Interactive Tool for Exploring Score-Aligned Performances: Opportunities for Enhanced Music Engagement.

Caitlin Sales, Peiyi Wang, Yucong Jiang

Proceedings of the 18th International Audio Mostly Conference, 2023

Enhancing Continual Relation Extraction via Classifier Decomposition.

Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Design and Experimental Characterization of a Push-Pull Flexible Rod-Driven Soft-Bodied Robot.

Peiyi Wang, Zhiqiang Tang, Wenci Xin, Zhexin Xie, Sheng Guo, Cecilia Laschi

IEEE Robotics Autom. Lett., 2022

Design and Analysis of a Novel Variable Stiffness Continuum Robot With Built-in Winding-Styled Ropes.

Peiyi Wang, Sheng Guo, Xiangyang Wang, Yifan Wu

IEEE Robotics Autom. Lett., 2022

Learning-Based Approach for a Soft Assistive Robotic Arm to Achieve Simultaneous Position and Force Control.

Zhiqiang Tang, Peiyi Wang, Wenci Xin, Cecilia Laschi

IEEE Robotics Autom. Lett., 2022

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach.

Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui

CoRR, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang

CoRR, 2022

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog.

Hua Liang, Tianyu Liu, Peiyi Wang, Meng-Liang Rao, Yunbo Cao

CoRR, 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.

Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.

Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.

Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering.

Bo Liu, Lei Liu, Peiyi Wang

Proceedings of the Knowledge Science, Engineering and Management, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation.

Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Lianzhe Huang, Xin Sun, Houfeng Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Biometric key generation based on generated intervals and two-layer error correcting technique.

Peiyi Wang, Lin You, Gengran Hu, Liqin Hu, Zhihua Jian, Chaoping Xing

Pattern Recognit., 2021

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui

CoRR, 2021

Explicit Interaction Network for Aspect Sentiment Triplet Extraction.

Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui

CoRR, 2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction.

Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang

CoRR, 2021

Gait-based Design and Human-machine Simulation of a Powered Hybrid Transfemoral Prosthetic Mechanism.

Majun Song, Sheng Guo, Xiangyang Wang, Peiyi Wang, Yifan Wu

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

Follow-the-Leader Deployment of the Interlaced Continuum Robot Based on the Unpowered Lock Mechanism.

Peiyi Wang, Sheng Guo, Fuqun Zhao, Xiangyang Wang, Majun Song

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.

Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction.

Shengyu Hao, Peiyi Wang, Yanzhu Hu

Inf., 2019

An Automated Fact Checking System Using Deep Learning Through Word Embedding.

Peiyi Wang, Lixia Deng, Xiujun Wu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.

Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2019

NRSA: Neural Recommendation with Summary-Aware Attention.

Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao

Proceedings of the Knowledge Science, Engineering and Management, 2019

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.

Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie

Proceedings of the Database Systems for Advanced Applications, 2019

REKA: Relation Extraction with Knowledge-Aware Attention.

Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019