@inproceedings{c3bf68e76985494da057cb1fb07a1522,
title = "MTSwitch: A Web-based System for Translation between Molecules and Texts",
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 screen-cast can be found in https://github.com/hanninaa/MTSwitch.",
author = "Nijia Han and Zimu Wang and Yuqi Wang and Haiyang Zhang and Daiyun Huang and Wei Wang",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 17th International Natural Language Generation Conference, INLG 2024 ; Conference date: 23-09-2024 Through 27-09-2024",
year = "2024",
doi = "10.18653/v1/2024.inlg-demos.2",
language = "English",
series = "INLG 2024 - 17th International Natural Language Generation Conference: System Demonstrations, Proceedings of the System Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "4--6",
editor = "Saad Mahamood and Minh, \{Nguyen Le\} and Daphne Ippolito",
booktitle = "INLG 2024 - 17th International Natural Language Generation Conference",
}