Hi! I am Xudong. Welcome to my academic homepage.
I am hosting a shared task for multimodal story generation in the GenChal session of INLG 24 in Tokyo, Japan.
25 Apr. I will attend NAACL 2024 (17-21 June 2024) and present a poster at *SEM.
My research interests span across computer science, computational linguistics, and cognitive science. I use natural language processing and deep learning methods to investigate questions including:
My current focus is making large language models more human-like in language generation via psycholinguistics-inspired learning, multimodal learning, and script knowledge.
Xudong Hong, Margarita Ryzhova, Daniel Adrian Biondi, Vera Demberg. Do large language models and humans have similar behaviors in causal inference with script knowledge? In Proceedings of the 13th Joint Conference on Lexical and Computational Semantics. (*SEM 2024)
Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne. Howtocaption: Prompting llms to transform video annotations at scale. (CVPR workshop 2024)
Ruitao Feng, Xudong Hong, Mayank Jobanputra, Mattes Warning, and Vera Demberg. 2024. Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14053–14062, Torino, Italia. ELRA and ICCL. **(LREC-COLING 2024)
Xudong Hong, Sharid Loáiciga, and Asad Sayeed. 2023. A surprisal oracle for active curriculum language modeling. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 259–268, Singapore. Association for Computational Linguistics. (BabyLM@CoNLL 2023)
Xudong Hong, Khushboo Mehra, Asad Sayeed, and Vera Demberg. 2023. Visually Grounded Story Generation Challenge. In Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges, pages 17–22, Prague, Czechia. Association for Computational Linguistics. (INLG 2023)
Xudong Hong, Vera Demberg, Asad Sayeed, Qiankun Zheng, and Bernt Schiele. 2023. Visual Coherence Loss for Coherent and Visually Grounded Story Generation. In Findings of the Association for Computational Linguistics: ACL 2023, pages 9456–9470, Toronto, Canada. Association for Computational Linguistics. (ACL Findings 2023)
Xudong Hong, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. Transactions of the Association for Computational Linguistics (TACL), 11, 2023. (TACL 2023)
Dongqi Pu, Xudong Hong, Pin-Jie Lin, Ernie Chang, and Vera Demberg. 2022. Two-Stage Movie Script Summarization: An Efficient Method For Low-Resource Long Document Summarization. In Proceedings of The Workshop on Automatic Summarization for Creative Writing*, pages 57–66, Gyeongju, Republic of Korea. Association for Computational Linguistics. (Creativesumm@COLING 2022)
Han Cao, Xudong Hong, Heike Tost, Andreas Meyer-Lindenberg, and Emanuel Schwarz. Advancing translational research in neuroscience through multi-task learning. Frontiers in Psychiatry, 13, 2022.
Xudong Hong, Rakshith Shetty, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. 2020. Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 420–430, Online. Association for Computational Linguistics. (CoNLL 2020)
Xudong Hong, Ernie Chang, and Vera Demberg. 2019. Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders. In Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019), pages 75–80, Hong Kong, China. Association for Computational Linguistics. (MSR@EMNLP 2019)
Xudong Hong, Asad Sayeed, and Vera Demberg. 2018. Learning distributed event representations with a multi-task approach. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, pages 11–21, New Orleans, Louisiana. Association for Computational Linguistics. (*SEM 2018)
Asad Sayeed, Xudong Hong, and Vera Demberg. 2016. Roleo: Visualising Thematic Fit Spaces on the Web. In Proceedings of ACL-2016 System Demonstrations, pages 139–144, Berlin, Germany. Association for Computational Linguistics. (ACL demo 2016)
Please find the full list of my publications at Google Scholar.
Main email: xhong[at]coli.uni-saarland.de
Other emails: tony.xudong.hong[at]gmail.com
Mobile: +49 174 733 1336
Phone: +49 681 302 70020
Address: Campus C72 2.02, 66123 Saarbrücken, Germany