Zifeng Ding

According to our database, Zifeng Ding authored at least 37 papers between 2021 and 2025.

Collaborative distances:

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

2025

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules.

Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp

CoRR, August, 2025

Distilling Tool Knowledge into Language Models via Back-Translated Traces.

Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li

CoRR, June, 2025

Are Large Language Models Good Temporal Graph Learners?

Shenyang Huang, Ali Parviz, Emma Kondrup, Zachary Yang, Zifeng Ding, Michael M. Bronstein, Reihaneh Rabbany, Guillaume Rabusseau

CoRR, June, 2025

Image Tokens Matter: 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

CoRR, May, 2025

TCP: a Benchmark for Temporal Constraint-Based Planning.

Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos

CoRR, May, 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

CoRR, May, 2025

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

CoRR, March, 2025

The Future Outcome Reasoning and Confidence Assessment Benchmark.

Zhangdie Yuan, Zifeng Ding, Andreas Vlachos

CoRR, February, 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

Trans. Mach. Learn. Res., 2025

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings.

Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning.

Ercong Nie, Bo Shao, Mingyang Wang, Zifeng Ding, Helmut Schmid, Hinrich Schütze

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model.

Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp

CoRR, 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

CoRR, 2024

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.

Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models.

Yaomengxi Han, Zifeng Ding, Yushan Liu, Bailan He, Volker Tresp

Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp

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

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models.

Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp

Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), 2024

Text2Loc: 3D Point Cloud Localization from Natural Language.

Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers

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

2023

Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing.

Zifeng Ding, Yuxuan Sun, Sijin Xu, Yan Pan, Yanhong Peng, Zebing Mao

Robotics, June, 2023

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp

CoRR, 2023

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp

CoRR, 2023

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.

Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp

Proceedings of the Semantic Web - ISWC 2023, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion.

Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp

Proceedings of the Intelligent Systems and Applications, 2023

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction.

Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2023

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.

Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp

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

2022

Forecasting Question Answering over Temporal Knowledge Graphs.

Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp

CoRR, 2022

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction.

Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp

CoRR, 2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations.

Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp

CoRR, 2022

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information.

Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion.

Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion.

Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp

CoRR, 2021

Temporal Knowledge Graph Forecasting with Neural ODE.

Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp

CoRR, 2021

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs.

Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021