On the Challenges and Opportunities in Generative AI Article Swipe
Laura Manduchi
,
Kushagra Pandey
,
Robert Bamler
,
Ryan Cotterell
,
Sina Däubener
,
Sophie Fellenz
,
Asja Fischer
,
Thomas Gärtner
,
Matthias Kirchler
,
Marius Kloft
,
Yingzhen Li
,
Christoph Lippert
,
Gerard de Melo
,
Eric Nalisnick
,
Björn Ommer
,
Rajesh Ranganath
,
Maja Rudolph
,
Karen Ullrich
,
Guy Van den Broeck
,
Julia E. Vogt
,
Zhaoran Wang
,
Florian Wenzel
,
Frank Wood
,
Stephan Mandt
,
Vincent Fortuin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.00025
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2403.00025
The field of deep generative modeling has grown rapidly in the last few years. With the availability of massive amounts of training data coupled with advances in scalable unsupervised learning paradigms, recent large-scale generative models show tremendous promise in synthesizing high-resolution images and text, as well as structured data such as videos and molecules. However, we argue that current large-scale generative AI models exhibit several fundamental shortcomings that hinder their widespread adoption across domains. In this work, our objective is to identify these issues and highlight key unresolved challenges in modern generative AI paradigms that should be addressed to further enhance their capabilities, versatility, and reliability. By identifying these challenges, we aim to provide researchers with insights for exploring fruitful research directions, thus fostering the development of more robust and accessible generative AI solutions.
Related Topics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2403.00025
- https://arxiv.org/pdf/2403.00025
- OA Status
- green
- Cited By
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392425499
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392425499Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2403.00025Digital Object Identifier
- Title
-
On the Challenges and Opportunities in Generative AIWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-28Full publication date if available
- Authors
-
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Zhaoran Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent FortuinList of authors in order
- Landing page
-
https://arxiv.org/abs/2403.00025Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2403.00025Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2403.00025Direct OA link when available
- Concepts
-
Generative grammar, Computer science, Data science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9, 2024: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.with | 24, 115 |
| abstract_inverted_index.argue | 56 |
| abstract_inverted_index.field | 1 |
| abstract_inverted_index.grown | 7 |
| abstract_inverted_index.text, | 43 |
| abstract_inverted_index.their | 69, 101 |
| abstract_inverted_index.these | 82, 108 |
| abstract_inverted_index.work, | 76 |
| abstract_inverted_index.across | 72 |
| abstract_inverted_index.hinder | 68 |
| abstract_inverted_index.images | 41 |
| abstract_inverted_index.issues | 83 |
| abstract_inverted_index.models | 34, 62 |
| abstract_inverted_index.modern | 90 |
| abstract_inverted_index.recent | 31 |
| abstract_inverted_index.robust | 128 |
| abstract_inverted_index.should | 95 |
| abstract_inverted_index.videos | 51 |
| abstract_inverted_index.years. | 13 |
| abstract_inverted_index.amounts | 19 |
| abstract_inverted_index.coupled | 23 |
| abstract_inverted_index.current | 58 |
| abstract_inverted_index.enhance | 100 |
| abstract_inverted_index.exhibit | 63 |
| abstract_inverted_index.further | 99 |
| abstract_inverted_index.massive | 18 |
| abstract_inverted_index.promise | 37 |
| abstract_inverted_index.provide | 113 |
| abstract_inverted_index.rapidly | 8 |
| abstract_inverted_index.several | 64 |
| abstract_inverted_index.However, | 54 |
| abstract_inverted_index.adoption | 71 |
| abstract_inverted_index.advances | 25 |
| abstract_inverted_index.domains. | 73 |
| abstract_inverted_index.fruitful | 119 |
| abstract_inverted_index.identify | 81 |
| abstract_inverted_index.insights | 116 |
| abstract_inverted_index.learning | 29 |
| abstract_inverted_index.modeling | 5 |
| abstract_inverted_index.research | 120 |
| abstract_inverted_index.scalable | 27 |
| abstract_inverted_index.training | 21 |
| abstract_inverted_index.addressed | 97 |
| abstract_inverted_index.exploring | 118 |
| abstract_inverted_index.fostering | 123 |
| abstract_inverted_index.highlight | 85 |
| abstract_inverted_index.objective | 78 |
| abstract_inverted_index.paradigms | 93 |
| abstract_inverted_index.accessible | 130 |
| abstract_inverted_index.challenges | 88 |
| abstract_inverted_index.generative | 4, 33, 60, 91, 131 |
| abstract_inverted_index.molecules. | 53 |
| abstract_inverted_index.paradigms, | 30 |
| abstract_inverted_index.solutions. | 133 |
| abstract_inverted_index.structured | 47 |
| abstract_inverted_index.tremendous | 36 |
| abstract_inverted_index.unresolved | 87 |
| abstract_inverted_index.widespread | 70 |
| abstract_inverted_index.challenges, | 109 |
| abstract_inverted_index.development | 125 |
| abstract_inverted_index.directions, | 121 |
| abstract_inverted_index.fundamental | 65 |
| abstract_inverted_index.identifying | 107 |
| abstract_inverted_index.large-scale | 32, 59 |
| abstract_inverted_index.researchers | 114 |
| abstract_inverted_index.availability | 16 |
| abstract_inverted_index.reliability. | 105 |
| abstract_inverted_index.shortcomings | 66 |
| abstract_inverted_index.synthesizing | 39 |
| abstract_inverted_index.unsupervised | 28 |
| abstract_inverted_index.versatility, | 103 |
| abstract_inverted_index.capabilities, | 102 |
| abstract_inverted_index.high-resolution | 40 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 25 |
| citation_normalized_percentile |