Ding, Zifeng

11 publications

NeurIPS 2025 AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos

ICLRW 2025 Can Knowledge Graphs Make Large Language Models More Trustworthy? an Empirical Study over Open-Ended Question Answering Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi

TMLR 2025 DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma

NeurIPS 2025 Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-Based Large Vision-Language Models via Latent Editing Weixing Wang, Zifeng Ding, Jindong Gu, Rui Cao, Christoph Meinel, Gerard de Melo, Haojin Yang

NeurIPS 2025 Introducing FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark Moy Yuan, Zifeng Ding, Andreas Vlachos

ECML-PKDD 2024 A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze

ICLRW 2024 Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

ICMLW 2024 SA-DQAS: Self-Attention Enhanced Differentiable Quantum Architecture Search Yize Sun, Jiarui Liu, Zixin Wu, Zifeng Ding, Yunpu Ma, Thomas Seidl, Volker Tresp

CVPR 2024 Text2Loc: 3D Point Cloud Localization from Natural Language Yan Xia, Letian Shi, Zifeng Ding, Joao F. Henriques, Daniel Cremers

ECML-PKDD 2023 Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp

NeurIPSW 2022 A Simple but Powerful Graph Encoder for Temporal Knowledge Graph Completion Zifeng Ding, Yunpu Ma, Bailan He, Zhen Han, Volker Tresp