A systematic survey of prompt engineering on vision-language foundation models J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, R Liao, Y Qin, V Tresp, ... arXiv preprint arXiv:2307.12980, 2023 | 51 | 2023 |
A simple but powerful graph encoder for temporal knowledge graph completion Z Ding, Y Ma, B He, J Wu, Z Han, V Tresp Intelligent Systems Conference, 729-747, 2023 | 14 | 2023 |
Few-shot inductive learning on temporal knowledge graphs using concept-aware information Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp arXiv preprint arXiv:2211.08169, 2022 | 12 | 2022 |
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction Z Ding, B He, J Wu, Y Ma, Z Han, V Tresp 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | 8 | 2023 |
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs Z Ding, Z Li, R Qi, J Wu, B He, Y Ma, Z Meng, S Chen, R Liao, Z Han, ... International Semantic Web Conference, 541-560, 2023 | 3 | 2023 |
Forecasting question answering over temporal knowledge graphs Z Ding, R Qi, Z Li, B He, J Wu, Y Ma, Z Meng, Z Han, V Tresp CoRR abs/2208.06501, 2022 | 3 | 2022 |
A Knowledge Graph Perspective on Supply Chain Resilience Y Liu, B He, M Hildebrandt, M Buchner, D Inzko, R Wernert, E Weigel, ... arXiv preprint arXiv:2305.08506, 2023 | 2 | 2023 |
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? S Chen, Z Han, B He, Z Ding, W Yu, P Torr, V Tresp, J Gu arXiv preprint arXiv:2404.03411, 2024 | 1 | 2024 |
Understanding and Improving In-Context Learning on Vision-language Models S Chen, Z Han, B He, M Buckley, P Torr, V Tresp, J Gu arXiv preprint arXiv:2311.18021, 2023 | 1 | 2023 |
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models Y Han, Z Ding, Y Liu, B He, V Tresp | | |