Demonstrating LLM-for-X: Application-agnostic Integration of Large Language Models to Support Writing Workflows
In this demonstration, we show LLM-for-X, a system-wide shortcut layer that connects any application to backend LLM support through a lightweight popup dialog. LLM-for-X provides users with quick and easy-to-use LLM assistance without context switching to support writing and reading tasks. We show the use of LLM-for-X across several applications, such as Microsoft Office, VSCode, and Adobe Acrobat, which our tool seamlessly connects to the backends of OpenAI ChatGPT and Google Gemini. We also demonstrate the use of our system inside web apps such as Overleaf.
Authors
- Xintong Liu (ORCID: https://orcid.org/0000-0002-6586-7065)
- Zhipeng Li (ORCID: https://orcid.org/0000-0001-6602-0176)
- Christian Holz (ORCID: https://orcid.org/0000-0001-9655-9519)
- Lukas Teufelberger
- Max Möbus
Institutions
- ETH Zurich (CH)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3672539.3686757
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00