| Visual writing prompts: Character-grounded story generation with curated image sequences X Hong, A Sayeed, K Mehra, V Demberg, B Schiele Transactions of the Association for Computational Linguistics 11, 565-581, 2023 | 27 | 2023 |
| Howtocaption: Prompting llms to transform video annotations at scale N Shvetsova, A Kukleva, X Hong, C Rupprecht, B Schiele, H Kuehne European Conference on Computer Vision, 1-18, 2025 | 17 | 2025 |
| Diverse and relevant visual storytelling with scene graph embeddings X Hong, R Shetty, A Sayeed, K Mehra, V Demberg, B Schiele Proceedings of the 24th Conference on Computational Natural Language …, 2020 | 16 | 2020 |
| Improving language generation from feature-rich tree-structured data with relational graph convolutional encoders X Hong, E Chang, V Demberg Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR …, 2019 | 13 | 2019 |
| Learning distributed event representations with a multi-task approach X Hong, A Sayeed, V Demberg Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018 | 13 | 2018 |
| Two-stage movie script summarization: An efficient method for low-resource long document summarization D Pu, X Hong, PJ Lin, E Chang, V Demberg Proceedings of The Workshop on Automatic Summarization for Creative Writing …, 2022 | 10 | 2022 |
| A surprisal oracle for active curriculum language modeling X Hong, S Loáiciga, A Sayeed Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023 | 4 | 2023 |
| Visual coherence loss for coherent and visually grounded story generation X Hong, V Demberg, A Sayeed, Q Zheng, B Schiele Findings of the Association for Computational Linguistics: ACL 2023, 9456-9470, 2023 | 4 | 2023 |
| Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation R Feng, X Hong, M Jobanputra, M Warning, V Demberg Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 2 | 2024 |
| Do large language models and humans have similar behaviors in causal inference with script knowledge? X Hong, M Ryzhova, DA Biondi, V Demberg arXiv preprint arXiv:2311.07311, 2023 | 2 | 2023 |
| Roleo: visualising thematic fit spaces on the web A Sayeed, X Hong, V Demberg Proceedings of ACL-2016 System Demonstrations, 139-144, 2016 | 2 | 2016 |
| Visually Grounded Story Generation Challenge X Hong, K Mehra, A Sayeed, V Demberg Proceedings of the 16th International Natural Language Generation Conference …, 2023 | 1 | 2023 |
| A surprisal oracle for when every layer counts X Hong, S Loáiciga, A Sayeed arXiv preprint arXiv:2412.03098, 2024 | | 2024 |
| Summary of the Visually Grounded Story Generation Challenge X Hong, A Sayeed, V Demberg Proceedings of the 17th International Natural Language Generation Conference …, 2024 | | 2024 |
| Advancing translational research in neuroscience through multi-task learning H Cao, X Hong, H Tost, A Meyer-Lindenberg, E Schwarz Frontiers in Psychiatry 13, 993289, 2022 | | 2022 |
| Algorithmic solution for nurse assignment problem based on GA with perturb mutation LMHUH Xu-dong, H HUANG Journal of Computer Applications 32 (12), 3548, 2012 | | 2012 |
| HowToCaption: Prompting LLMs to Transform Video Annotations at Scale Supplementary Material N Shvetsova, A Kukleva, X Hong, C Rupprecht, B Schiele, H Kuehne | | |
Vera DembergSaarland University, Computer Science, Saarland Informatics CampusVerified email at coli.uni-saarland.de
