| 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 | 148 | 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 | 24 | 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 | 22 | 2024 |
| 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 | 18 | 2022 |
| 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 | 15 | 2023 |
| 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 | 13 | 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 | 11 | 2023 |
| 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 | 8 | 2023 |
| A systematic survey of prompt engineering on vision-language foundation models. arXiv J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, P Torr arXiv preprint arXiv:2307.12980, 2023 | 5 | 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 | 4 | 2022 |
| An automated evaluation framework for graph database query generation leveraging large language models B He, Y Liu, M Hildebrandt, Z Ding, Y Han, V Tresp CEUR workshop proceedings, 3707, 2024 | 1 | 2024 |
| PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model Y Liu, Y Ma, S Chen, Z Ding, B He, Z Han, V Tresp arXiv preprint arXiv:2411.08212, 2024 | | 2024 |
| Visual Question Decomposition on Multimodal Large Language Models H Zhang, J Liu, Z Han, S Chen, B He, V Tresp, Z Xu, J Gu arXiv preprint arXiv:2409.19339, 2024 | | 2024 |
| Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models Y Han, Z Ding, Y Liu, B He, V Tresp European Semantic Web Conference, 223-227, 2024 | | 2024 |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verifisert e-postadresse på dbs.ifi.lmu.de