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17th INLG 2024: Tokyo, Japan - System Demonstrations
- Saad Mahamood, Minh Le Nguyen, Daphne Ippolito:
Proceedings of the 17th International Natural Language Generation Conference, INLG 2024 - System Demonstrations, Tokyo, Japan, September 23 - 27, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-123-0 - Sergi Solera-Monforte, Pablo Arnau-González, Miguel Arevalillo-Herráez:
Be My Mate: Simulating Virtual Students for collaboration using Large Language Models. 1-3 - Nijia Han, Zimu Wang, Yuqi Wang, Haiyang Zhang, Daiyun Huang, Wei Wang:
MTSwitch: A Web-based System for Translation between Molecules and Texts. 4-6 - Shivprasad Rajendra Sagare, Prashant Ullegaddi, Nachiketh K. S, Navanith R, Kinshuk Sarabhai, Rajesh Kumar S. A:
VideoRAG: Scaling the context size and relevance for video question-answering. 7-8 - Anya Belz, Simon Mille, Craig Thomson, Rudali Huidrom:
QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems. 9-12 - Zdenek Kasner, Ondrej Plátek, Patrícia Schmidtová, Simone Balloccu, Ondrej Dusek:
factgenie: A Framework for Span-based Evaluation of Generated Texts. 13-15 - Simon Mille, Massimiliano Pronesti, Craig Thomson, Michela Lorandi, Sophie Fitzpatrick, Rudali Huidrom, Mohammed Sabry, Amy O'Riordan, Anya Belz:
Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups. 16-19
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