extended-abstract

ZINify: Transforming Research Papers into Engaging Zines with Large Language Models

Authors:

Jaidev Shriram,

Sanjayan Pradeep Kumar SreekalaAuthors Info & Claims

UIST '23 Adjunct: Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Article No.: 117, Pages 1 - 3

https://doi.org/10.1145/3586182.3625118

Published: 29 October 2023 Publication History

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Abstract

Research papers are a vital building block for scientific discussion. While these papers follow effective structures for the relevant community, they are unable to cater to novice readers and express otherwise creative ideas in creative mediums. To this end, we propose ZINify, the first approach to automatically transform research papers into engaging zines using large language models (LLM) and text-to-image generators. Following zine’s long history of supporting independent, creative expression, we propose a technique that can work with authors to build more engaging, marketable, and unconventional content that is based on their research. We believe that our work will help make research more engaging and accessible to all while helping papers stand out in crowded online venues.

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Cited By

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Li JZhang MLi NWeyns DJin ZTei K(2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3686803
Fan XWu ZYu CRao FShi WTu T(2024)ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-CreationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642129(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642129

Index Terms

ZINify: Transforming Research Papers into Engaging Zines with Large Language Models
1. Applied computing
  1. Arts and humanities
2. Computing methodologies
  1. Artificial intelligence

Index terms have been assigned to the content through auto-classification.

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Information

Published In

UIST '23 Adjunct: Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

October 2023

424 pages

ISBN:9798400700965

DOI:10.1145/3586182

Editors:
Sean Follmer
Stanford University, USA
,
Jeff Han,
Jürgen Steimle
Saarland University, Germany
,
Nathalie Henry Riche
Microsoft Research, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 29 October 2023

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UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology

October 29 - November 1, 2023

CA, San Francisco, USA

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Overall Acceptance Rate 355 of 1,733 submissions, 20%

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UIST '25

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The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

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Li JZhang MLi NWeyns DJin ZTei K(2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3686803
Fan XWu ZYu CRao FShi WTu T(2024)ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-CreationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642129(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642129

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The Creativity of Text-to-Image Generation

Zines as Empowerment

Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts

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