Record link: 
http://hdl.handle.net/20.500.12708/231092
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Title: 
GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs
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Citation: 
Cheng, Z., Dai, W., Sun, J., & Lukasiewicz, T. (2026). GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 42527–42543). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.acl-long.1969
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Publisher DOI: 
10.18653/v1/2026.acl-long.1969
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Cheng, Zehua 
Dai, Wei 
Sun, Jiahao 
Lukasiewicz, Thomas 
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Organisational Unit: 
E192-07 - Forschungsbereich Artificial Intelligence Techniques 
E192-03 - Forschungsbereich Knowledge Based Systems 
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Published in: 
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 
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ISBN: 
979-8-89176-390-6
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Volume: 
1
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DOI of the book: 
10.18653/v1/2026.acl-long
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Date (published): 
2026
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Event name: 
64th Annual Meeting of the Association for Computational Linguistics 
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Event date: 
2-Jul-2026 - 7-Jul-2026
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Event place: 
San Diego, CA, United States of America (the)
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Number of Pages: 
17
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Publisher: 
Association for Computational Linguistics
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Peer reviewed: 
Yes
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Keywords: 
Synthetic Data Generation; Probabilistic Factor Graphs; Constrained Decoding; Diversity–Reliability Trade-off
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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