| 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 | 41 | 2023 |
| ECOLA: Enhanced temporal knowledge embeddings with contextualized language representations Z Han, R Liao, B Liu, Y Zhang, Z Ding, H Köppl, H Schütze, V Tresp ACL 2023, Findings of the Association for Computational Linguistics 2023, 2022 | 11* | 2022 |
| 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 | 6* | 2023 |
| Zero-shot relational learning on temporal knowledge graphs with large language models Z Ding, H Cai, J Wu, Y Ma, R Liao, B Xiong, V Tresp NAACL 2024, 2024 Annual Conference of the North American Chapter of the …, 2023 | 2 | 2023 |
| GenTKG: Generative Forecasting on Temporal Knowledge Graph R Liao, X Jia, Y Ma, V Tresp NAACL 2024, 2024 Annual Conference of the North American Chapter of the …, 2023 | 2 | 2023 |
| GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models Y Shen, R Liao, Z Han, Y Ma, V Tresp arXiv preprint arXiv:2310.08487, 2023 | 1 | 2023 |
| Planning and Control using Model-Based Reinforcement Learning P Czempin, V Friedrich, R Liao, J Nettelnstroth, H Belhassen | | 2021 |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verified email at dbs.ifi.lmu.de
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verified email at dbs.ifi.lmu.de