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Conference Paper

VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog

MPS-Authors
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Carvalhais,  Nuno
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Reichstein,  Markus       
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.18653/v1/2023.emnlp-demo.5
(Publisher version)

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BGC4445.pdf
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Citation

Voigt, H., Carvalhais, N., Meuschke, M., Reichstein, M., Zarrie, S., & Lawonn, K. (2023). VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 70-81). Singapur: Association for Computational Linguistics. doi:10.18653/v1/2023.emnlp-demo.5.


Cite as: https://hdl.handle.net/21.11116/0000-000E-0C79-E
Abstract
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