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.

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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
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Demonstrating LLM-for-X: Application-agnostic Integration of Large Language Models to Support Writing Workflows

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Natural Language Processing Techniques
article

Demonstrating LLM-for-X: Application-agnostic Integration of Large Language Models to Support Writing Workflows

Xintong Liu, Zhipeng Li, Christian Holz, Lukas Teufelberger, Max Möbus
article en

Abstract

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.

ETH Zurich (CH)
Quality Education
Openalex Percentile: Top 85%
Natural Language Processing Techniques
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