| A transformer-based variational autoencoder for sentence generation D Liu, G Liu 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 57 | 2019 |
| A character-centric neural model for automated story generation D Liu, J Li, MH Yu, Z Huang, G Liu, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1725-1732, 2020 | 41 | 2020 |
| Draft and edit: Automatic storytelling through multi-pass hierarchical conditional variational autoencoder MH Yu, J Li, D Liu, D Zhao, R Yan, B Tang, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1741-1748, 2020 | 29 | 2020 |
| Aug-bert: An efficient data augmentation algorithm for text classification L Shi, D Liu, G Liu, K Meng Communications, Signal Processing, and Systems: Proceedings of the 8th …, 2020 | 20 | 2020 |
| Detecting and grounding important characters in visual stories D Liu, F Keller Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13210 …, 2023 | 2 | 2023 |
| A submodular optimization-based vae-transformer framework for paraphrase generation X Fan, D Liu, X Wang, Y Liu, G Liu, B Su CCF International Conference on Natural Language Processing and Chinese …, 2020 | 2 | 2020 |
| Benchmark snapshots for testing social network evolving algorithms D Liu, G Liu, K Meng, Y He, Y Zhang Procedia Computer Science 147, 228-232, 2019 | 2 | 2019 |
| TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness D Zheng, D Liu, M Lapata, JZ Pan arXiv preprint arXiv:2402.12545, 2024 | | 2024 |
| Visual Storytelling with Question-Answer Plans D Liu, M Lapata, F Keller arXiv preprint arXiv:2310.05295, 2023 | | 2023 |
| Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization A Keleg, M Lindemann, D Liu, W Long, B Webber Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in …, 2022 | | 2022 |
Frank KellerUniversity of EdinburghVerified email at inf.ed.ac.uk
