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 | 184 | 2023 |
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models R Liao, X Jia, Y Li, Y Ma, V Tresp NAACL 2024, Findings of the Association for Computational Linguistics, 4303-4317, 2024 | 48* | 2024 |
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion G Zhai, EP Örnek, DZ Chen, R Liao, Y Di, N Navab, F Tombari, B Busam ECCV 2024, 2024 | 28 | 2024 |
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 | 22* | 2022 |
zrLLM: 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 …, 2024 | 20 | 2024 |
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, ... ISWC, International Semantic Web Conference, 541-560, 2023 | 15* | 2023 |
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs R Liao, M Erler, H Wang, G Zhai, G Zhang, Y Ma, V Tresp EMNLP 2024, Findings of the 2024 Conference on Empirical Methods in Natural …, 2024 | 14 | 2024 |
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 | 5 | 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 | 2 | 2023 |
Planning and Control using Model-Based Reinforcement Learning P Czempin, V Friedrich, R Liao, J Nettelnstroth, H Belhassen | | 2021 |