REKA: Relation Extraction with Knowledge-Aware Attention. - Peiyi Wang; Hongtao Liu; Fangzhao Wu; Jinduo Song; Hongyan Xu 001; Wenjun Wang 002 (CCKS, 2019)

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Xianchen Wang; Hongtao Liu; Peiyi Wang; Fangzhao Wu; Hongyan Xu 001; Wenjun Wang 002; Xing Xie 001 (DASFAA (3), 2019)

NRSA: Neural Recommendation with Summary-Aware Attention. - Qiyao Peng 001; Peiyi Wang; Wenjun Wang 002; Hongtao Liu; Yueheng Sun; Pengfei Jiao (KSEM (1), 2019)

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. - Hongtao Liu; Peiyi Wang; Fangzhao Wu; Pengfei Jiao; Wenjun Wang 002; Xing Xie 001; Yueheng Sun (NLPCC (1), 2019)

An Automated Fact Checking System Using Deep Learning Through Word Embedding. - Peiyi Wang; Lixia Deng; Xiujun Wu (SSCI, 2019)

Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction. - Shengyu Hao; Peiyi Wang; Yanzhu Hu (Inf., 2019)

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Damai Dai; Baobao Chang; Zhifang Sui (CIKM, 2021)

Follow-the-Leader Deployment of the Interlaced Continuum Robot Based on the Unpowered Lock Mechanism. - Peiyi Wang; Sheng Guo 001; Fuqun Zhao; Xiangyang Wang 002; Majun Song (ICIRA (3), 2021)

Gait-based Design and Human-machine Simulation of a Powered Hybrid Transfemoral Prosthetic Mechanism. - Majun Song; Sheng Guo 001; Xiangyang Wang 002; Peiyi Wang; Yifan Wu 007 (M2VIP, 2021)

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. - Lianzhe Huang; Peiyi Wang; Sujian Li; Tianyu Liu 001; Xiaodong Zhang 022; Zhicong Cheng; Dawei Yin; Houfeng Wang (CoRR, 2021)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction. - Peiyi Wang; Lianzhe Huang; Tianyu Liu 001; Damai Dai; Runxin Xu; Houfeng Wang; Baobao Chang; Zhifang Sui (CoRR, 2021)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Baobao Chang; Zhifang Sui (CoRR, 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 024; Tianyu Liu 001; Damai Dai; Yunbo Cao; Baobao Chang; Zhifang Sui (ACL (2), 2022)

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Lianzhe Huang; Xin Sun 013; Houfeng Wang (ACL (1), 2022)

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Sujian Li; Zhifang Sui (EMNLP, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui; Houfeng Wang (EMNLP, 2022)

Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering. - Bo Liu; Lei Liu; Peiyi Wang (KSEM (2), 2022)

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. - Liang Chen 024; Peiyi Wang; Runxin Xu; Tianyu Liu 001; Zhifang Sui; Baobao Chang (NAACL-HLT (Findings), 2022)

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Qingyu Zhou; Yunbo Cao; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog. - Hua Liang; Tianyu Liu 001; Peiyi Wang; Meng-Liang Rao; Yunbo Cao (CoRR, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Yunbo Cao; Zhifang Sui; Houfeng Wang (CoRR, 2022)

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Rundong Gao; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 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)

Design and Analysis of a Novel Variable Stiffness Continuum Robot With Built-in Winding-Styled Ropes. - Peiyi Wang; Sheng Guo 001; Xiangyang Wang 002; Yifan Wu 007 (IEEE Robotics Autom. Lett., 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 001; Cecilia Laschi (IEEE Robotics Autom. Lett., 2022)

Enhancing Continual Relation Extraction via Classifier Decomposition. - Heming Xia; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (Findings), 2023)

An Interactive Tool for Exploring Score-Aligned Performances: Opportunities for Enhanced Music Engagement. - Caitlin Sales; Peiyi Wang; Yucong Jiang (Audio Mostly Conference, 2023)

Guiding AMR Parsing with Reverse Graph Linearization. - Bofei Gao; Liang Chen 024; Peiyi Wang; Zhifang Sui; Baobao Chang (EMNLP (Findings), 2023)

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. - Yifan Song 002; Peiyi Wang; Weimin Xiong; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (EMNLP (Findings), 2023)

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. - Heming Xia; Tao Ge 001; Peiyi Wang; Si-Qing Chen; Furu Wei; Zhifang Sui (EMNLP (Findings), 2023)

Rationale-Enhanced Language Models are Better Continual Relation Learners. - Weimin Xiong; Yifan Song 002; Peiyi Wang; Sujian Li (EMNLP, 2023)

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. - Zhe Yang 013; Damai Dai; Peiyi Wang; Zhifang Sui (EMNLP (Findings), 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 (ICRA, 2023)

RepCL: Exploring Effective Representation for Continual Text Classification. - Yifan Song 002; Peiyi Wang; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Dawei Zhu; Binghuai Lin; Yunbo Cao; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. - Lei Li 039; Yuwei Yin; Shicheng Li; Liang Chen 024; Peiyi Wang; Shuhuai Ren; Mukai Li; Yazheng Yang; Jingjing Xu 001; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

Making Large Language Models Better Reasoners with Alignment. - Peiyi Wang; Lei Li 039; Liang Chen 024; Feifan Song 001; Binghuai Lin; Yunbo Cao; Tianyu Liu 001; 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 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Tianyu Liu 001; Baobao Chang (CoRR, 2023)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. - Peiyi Wang; Lei Li 039; Zhihong Shao; R. X. Xu; Damai Dai; Yifei Li 005; Deli Chen; Y. Wu; Zhifang Sui (CoRR, 2023)

Silkie: Preference Distillation for Large Visual Language Models. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong (CoRR, 2023)

ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation. - Difei Gao; Lei Ji 001; Zechen Bai; Mingyu Ouyang; Peiran Li; Dongxing Mao; Qinchen Wu; Weichen Zhang; Peiyi Wang; Xiangwu Guo; Hengxu Wang; Luowei Zhou; et al. (CoRR, 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 006; Dexing Kong; et al. (Comput. Biol. Medicine, 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., 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., 2023)

Design of an optimized gait planning generator for a quadruped robot using the decision tree and random forest workspace model. - Yifan Wu 007; Sheng Guo 001; Zheqi Yu; Peiyi Wang; Lianzheng Niu; Majun Song (Robotica, 2023)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. - Lei Li 039; Yuqi Wang 003; Runxin Xu; Peiyi Wang; Xiachong Feng; Lingpeng Kong; Qi Liu 049 (ACL (1), 2024)

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Xiangdi Meng; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2024)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Zefan Cai; Dawei Zhu; Binghuai Lin; Yunbo Cao; Lingpeng Kong; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (ACL (1), 2024)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. - Peiyi Wang; Lei Li 039; Zhihong Shao; Runxin Xu; Damai Dai; Yifei Li 005; Deli Chen; Yu Wu; Zhifang Sui (ACL (1), 2024)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Houfeng Wang (LREC/COLING, 2024)

AssistGUI: Task-Oriented PC Graphical User Interface Automation. - Difei Gao; Lei Ji 001; Zechen Bai; Mingyu Ouyang; Peiran Li; Dongxing Mao; Qinchen Wu; Weichen Zhang; Peiyi Wang; Xiangwu Guo; Hengxu Wang; Luowei Zhou; et al. (CVPR, 2024)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong; Qi Liu 049 (EMNLP, 2024)

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. - Rui Li 094; Peiyi Wang; Jingyuan Ma; Di Zhang; Lei Sha; Zhifang Sui (EMNLP (Findings), 2024)

Strain-based Modeling of Rod-driven Soft Continuum Robots with Co-located Embedded Sensors. - Peiyi Wang; Daniel Feliú Talegon; Sheng Guo 001; Federico Renda; Cecilia Laschi (IROS, 2024)

A Study of Cognitive Discomfort in Urban Intersection Scenarios Based on Vehicle Occupants' Eye Movement Characteristics. - Junyi Chen; Peiyi Wang; Xinzheng Wu; Wenbo Xiao; Duo Li; Haolan Meng (ITSC, 2024)

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. - Xiao Bi; Deli Chen; Guanting Chen 002; Shanhuang Chen; Damai Dai; Chengqi Deng; Honghui Ding; Kai Dong 003; Qiushi Du; Zhe Fu; Huazuo Gao; Kaige Gao; et al. (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)

ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization. - Feifan Song 001; Yuxuan Fan; Xin Zhang 099; Peiyi Wang; Houfeng Wang (CoRR, 2024)

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. - Xiangdi Meng; Damai Dai; Weiyao Luo; Zhe Yang 013; Shaoxiang Wu; Xiaochen Wang; Peiyi Wang; Qingxiu Dong; Liang Chen 024; Zhifang Sui (CoRR, 2024)

Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition. - Fangwei Zhu; Peiyi Wang; Zhifang Sui (CoRR, 2024)

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. - DeepSeek-AI; Aixin Liu; Bei Feng; Bin Wang 065; Bingxuan Wang; Bo Liu 039; Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Daya Guo; Dejian Yang; et al. (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; et al. (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 001; Tianyu Liu 001; et al. (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (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; Dayiheng Liu; Chang Zhou; Wen Xiao; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (ACL (1), 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

Instantly Learning Preference Alignment via In-context DPO. - Feifan Song 001; Yuxuan Fan; Xin Zhang 099; Peiyi Wang; Houfeng Wang (NAACL (Long Papers), 2025)

RL-based Shape Control of Rod-driven Soft Arms Using Strain Models. - Peiyi Wang; Yaxin Zeng; Yuchen Sun; Zhenwei Ni; Muhammad Sunny Nazeer; Cecilia Laschi (RoboSoft, 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

Origami-Inspired Soft Gripper with Tunable Constant Force Output. - Zhenwei Ni; Chang Xu; Zhihang Qin; Ceng Zhang; Zhiqiang Tang; Peiyi Wang; Cecilia Laschi (CoRR, 2025)

Inference-Time Scaling for Generalist Reward Modeling. - Zijun Liu; Peiyi Wang; Runxin Xu; Shirong Ma; Chong Ruan; Peng Li; Yang Liu; Yu Wu (CoRR, 2025)

Robots Evolved From Non-Euclidean Composite Origami. - Yuanyuan Li; Peiyi Wang; Qian Zhang; Keyi Li; Yiyuan Zhang; Longxin Kan; Wenci Xin; Jian Feng; Jianguo Cai; Cecilia Laschi (IEEE Robotics Autom. Lett., 2025)

Chain-of-Thought Tokens are Computer Program Variables. - Fangwei Zhu; Peiyi Wang; Zhifang Sui (CoRR, 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li 094; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (CoRR, 2025)

RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information. - Xinzheng Wu; Junyi Chen; Peiyi Wang; Shunxiang Chen; Haolan Meng; Yong Shen (CoRR, 2025)