MTSwitch: A Web-based System for Translation between Molecules and Texts

Nijia Han, Zimu Wang, Yuqi Wang, Haiyang Zhang, Daiyun Huang, Wei Wang


Abstract
We introduce MTSwitch, a web-based system for the bidirectional translation between molecules and texts, leveraging various large language models (LLMs). It supports two crucial tasks, including molecule captioning (explaining the properties of a molecule) and molecule generation (designing a molecule based on specific properties). To the best of our knowledge, MTSwitch is currently the first accessible system that allows users to translate between molecular representations and descriptive text contents. The system and a screencast can be found in https://github.com/hanninaa/MTSwitch.
Anthology ID:
2024.inlg-demos.2
Volume:
Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations
Month:
September
Year:
2024
Address:
Tokyo, Japan
Editors:
Saad Mahamood, Nguyen Le Minh, Daphne Ippolito
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
4–6
Language:
URL:
https://aclanthology.org/2024.inlg-demos.2
DOI:
Bibkey:
Cite (ACL):
Nijia Han, Zimu Wang, Yuqi Wang, Haiyang Zhang, Daiyun Huang, and Wei Wang. 2024. MTSwitch: A Web-based System for Translation between Molecules and Texts. In Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations, pages 4–6, Tokyo, Japan. Association for Computational Linguistics.
Cite (Informal):
MTSwitch: A Web-based System for Translation between Molecules and Texts (Han et al., INLG 2024)
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PDF:
https://aclanthology.org/2024.inlg-demos.2.pdf