Towards Practical Open Knowledge Base Canonicalization. - Tien-Hsuan Wu; Zhiyong Wu 003; Ben Kao; Pengcheng Yin (CIKM, 2018)

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. - Zhiyong Wu 003; Yun Chen 007; Ben Kao; Qun Liu 001 (ACL, 2020)

MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases. - Tien-Hsuan Wu; Ben Kao; Zhiyong Wu 003; Xiyang Feng; Qianli Song; Cheng Chen (WISE (1), 2020)

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. - Zhiyong Wu 003; Ben Kao; Tien-Hsuan Wu; Pengcheng Yin; Qun Liu 001 (WSDM, 2020)

NEXT: a neural network framework for next POI recommendation. - Zhiqian Zhang; Chenliang Li; Zhiyong Wu 003; Aixin Sun; Dengpan Ye; Xiangyang Luo (Frontiers Comput. Sci., 2020)

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. - Zhiyong Wu 003; Lingpeng Kong; Wei Bi; Xiang Li 067; Ben Kao (ACL/IJCNLP (1), 2021)

Cascaded Head-colliding Attention. - Lin Zheng; Zhiyong Wu 003; Lingpeng Kong (ACL/IJCNLP (1), 2021)

Lexical Knowledge Internalization for Neural Dialog Generation. - Zhiyong Wu 003; Wei Bi; Xiang Li 067; Lingpeng Kong; Ben Kao (ACL (1), 2022)

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. - Chenxin An; Ming Zhong 005; Zhiyong Wu 003; Qin Zhu; Xuanjing Huang 001; Xipeng Qiu (COLING, 2022)

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. - Jiacheng Ye; Jiahui Gao; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (EMNLP (Findings), 2022)

ZeroGen: Efficient Zero-shot Learning via Dataset Generation. - Jiacheng Ye; Jiahui Gao; Qintong Li; Hang Xu 004; Jiangtao Feng; Zhiyong Wu 003; Tao Yu 009; Lingpeng Kong (EMNLP, 2022)

ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (CoRR, 2022)

Self-adaptive In-context Learning. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (CoRR, 2022)

Unsupervised Explanation Generation via Correct Instantiations. - Sijie Cheng; Zhiyong Wu 003; Jiangjie Chen; Zhixing Li; Yang Liu; Lingpeng Kong (AAAI, 2023)

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (ACL (1), 2023)

Explanation Regeneration via Information Bottleneck. - Qintong Li; Zhiyong Wu 003; Lingpeng Kong; Wei Bi (ACL (Findings), 2023)

OpenICL: An Open-Source Framework for In-context Learning. - Zhenyu Wu; Yaoxiang Wang; Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Jingjing Xu 001; Yu Qiao 001 (ACL (demo), 2023)

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (EMNLP (Findings), 2023)

Lexicon-injected Semantic Parsing for Task-Oriented Dialog. - Xiaojun Meng; Wenlin Dai; Yasheng Wang; Baojun Wang; Zhiyong Wu 003; Xin Jiang 002; Qun Liu 001 (ICASSP, 2023)

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Weizhong Zhang; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (ICLR, 2023)

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (ICLR, 2023)

Compositional Exemplars for In-context Learning. - Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (ICML, 2023)

In-Context Learning with Many Demonstration Examples. - Mukai Li; Shansan Gong; Jiangtao Feng; Yiheng Xu; Jun Zhang; Zhiyong Wu 003; Lingpeng Kong (CoRR, 2023)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Qiushi Sun; Zhangyue Yin; Xiang Li 067; Zhiyong Wu 003; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. - Kanzhi Cheng; Qiushi Sun; Yougang Chu; Fangzhi Xu; Yantao Li 003; Jianbing Zhang; Zhiyong Wu 003 (ACL (1), 2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. - Fangzhi Xu; Zhiyong Wu 003; Qiushi Sun; Siyu Ren; Fei Yuan 006; Shuai Yuan 018; Qika Lin; Yu Qiao 001; Jun Liu 002 (ACL (1), 2024)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. - Jianxiang Yu 001; Zichen Ding 002; Jiaqi Tan 006; Kangyang Luo; Zhenmin Weng; Chenghua Gong; Long Zeng 004; Renjing Cui; Chengcheng Han 004; Qiushi Sun; Zhiyong Wu 003; Yunshi Lan; et al. (EMNLP (Findings), 2024)

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement. - Zhiyong Wu 003; Chengcheng Han 004; Zichen Ding 002; Zhenmin Weng; Zhoumianze Liu; Shunyu Yao; Tao Yu 009; Lingpeng Kong (CoRR, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

A Controlled Study on Long Context Extension and Generalization in LLMs. - Yi Lu; Jing Nathan Yan; Songlin Yang; Justin T. Chiu; Siyu Ren; Fei Yuan 006; Wenting Zhao; Zhiyong Wu 003; Alexander M. Rush (CoRR, 2024)

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling. - Zhe Chen 017; Weiyun Wang; Yue Cao; Yangzhou Liu; Zhangwei Gao; Erfei Cui; Jinguo Zhu; Shenglong Ye; Hao Tian 006; Zhaoyang Liu 001; Lixin Gu; Xuehui Wang; et al. (CoRR, 2024)

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Qiushi Sun; Fangzhi Xu; Junlin Hu 003; Tianbao Xie; Zhiyong Wu 003 (ACL (Findings), 2025)

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. - Qiushi Sun; Kanzhi Cheng; Zichen Ding 002; Chuanyang Jin; Yian Wang 003; Fangzhi Xu; Zhenyu Wu; Chengyou Jia; Liheng Chen; Zhoumianze Liu; Ben Kao; Guohao Li 001; et al. (ACL (1), 2025)

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Jun Liu 002; Qika Lin; Zhiyong Wu 003 (ACL (1), 2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Qiushi Sun; Kanzhi Cheng; Junxian He; Jun Liu 002; Zhiyong Wu 003 (ACL (1), 2025)

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. - Fangzhi Xu; Qiushi Sun; Kanzhi Cheng; Jun Liu 002; Yu Qiao 001; Zhiyong Wu 003 (ACL (1), 2025)

OS-ATLAS: Foundation Action Model for Generalist GUI Agents. - Zhiyong Wu 003; Zhenyu Wu; Fangzhi Xu; Yian Wang 003; Qiushi Sun; Chengyou Jia; Kanzhi Cheng; Zichen Ding 002; Liheng Chen; Paul Pu Liang; Yu Qiao 001 (ICLR, 2025)

Implicit Search via Discrete Diffusion: A Study on Chess. - Jiacheng Ye; Zhenyu Wu; Jiahui Gao; Zhiyong Wu 003; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

TDAG: A multi-agent framework based on dynamic Task Decomposition and Agent Generation. - Yaoxiang Wang; Zhiyong Wu 003; Junfeng Yao; Jinsong Su (Neural Networks, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? - Xuetian Chen; Yinghao Chen; Xinfeng Yuan; Zhuo Peng; Lu Chen; Yuekeng Li; Zhoujia Zhang; Yingqian Huang; Leyan Huang; Jiaqing Liang; Tianbao Xie; Zhiyong Wu 003; et al. (CoRR, 2025)