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Peiyi Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

35

Venues

11

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

35 indexed papers, newest first.

YearVenueTitleAuthors
2026COMPSACADHDPulse: A Smartphone-Based Approach to Monitor ADHD Symptom Improvement and ADHD Symptom Levels Prediction.Shweta Ware, Allison Baun, Caleb Kwakye, Ethan Swift, Sofia Dimotsi, Peiyi Wang, Nikoloz Gvelesiani, Laura E. Knouse
2025ACLLLM 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, Baobao Chang
2025ACLTowards Harmonized Uncertainty Estimation for Large Language Models.Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang, Zhifang Sui
2025CIKMCCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3.Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang
2025CVPRVL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.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
2025IROSOrigami-Inspired Soft Gripper with Tunable Constant Force Output.Zhenwei Ni, Chang Xu, Zhihang Qin, Ceng Zhang, Zhiqiang Tang, Peiyi Wang, Cecilia Laschi
2025NAACLInstantly Learning Preference Alignment via In-context DPO.Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang
2024ACLMultimodal 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
2024ACLPCA-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
2024ACLLarge 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
2024ACLMath-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
2024ACLUnlocking 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
2024COLINGUtilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification.Zihan Wang, Peiyi Wang, Houfeng Wang
2024CVPRAssistGUI: 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
2024EMNLPVLFeedback: 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
2024EMNLPBe a Multitude to Itself: A Prompt Evolution Framework for Red Teaming.Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui
2024IROSStrain-based Modeling of Rod-driven Soft Continuum Robots with Co-located Embedded Sensors.Peiyi Wang, Daniel Feli-Talegon, Sheng Guo, Federico Renda, Cecilia Laschi
2023ACLEnhancing Continual Relation Extraction via Classifier Decomposition.Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
2023EMNLPGuiding AMR Parsing with Reverse Graph Linearization.Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
2023EMNLPInfoCL: 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
2023EMNLPSpeculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation.Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui
2023EMNLPRationale-Enhanced Language Models are Better Continual Relation Learners.Weimin Xiong, Yifan Song, Peiyi Wang, Sujian Li
2023EMNLPNot All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning.Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
2023ICRAMeta-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
2022ACLHierarchical Curriculum Learning for AMR Parsing.Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui
2022ACLIncorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification.Zihan Wang, Peiyi Wang, Lianzhe Huang, Xin Sun, Houfeng Wang
2022EMNLPLearning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation.Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui
2022EMNLPHPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang
2022KSEMFew-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering.Bo Liu, Lei Liu, Peiyi Wang
2022NAACLATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022NAACLAn Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2022NAACLA Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2021CIKMBehind 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
2019DASFAANeural Review Rating Prediction with Hierarchical Attentions and Latent Factors.Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019KSEMNRSA: Neural Recommendation with Summary-Aware Attention.Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao