Are Large Language Models the New Interface for Data Pipelines?-Reference-Cited by-同舟云学术

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Are Large Language Models the New Interface for Data Pipelines?

Published:2024-06-09 Issue: Volume:41 Page:1-6
ISSN:
Container-title:International Workshop on Big Data in Emergent Distributed Environments
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Author:

Barbon Junior Sylvio¹^ORCID,Ceravolo Paolo²^ORCID,Groppe Sven³^ORCID,Jarrar Mustafa⁴^ORCID,Maghool Samira²^ORCID,Sèdes Florence⁵^ORCID,Sahri Soror⁶^ORCID,Van Keulen Maurice⁷^ORCID

Affiliation:

1. Universita degli Studi di Trieste, Italy

2. University of Milan, Italy

3. University of Lübeck, Germany

4. Birzeit University, Palestine

5. University Toulouse 3 Paul Sabatier, France

6. Université Paris Cité, France

7. University of Twente, The Netherlands

Publisher

ACM

Reference37 articles.

1. Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, and Marco Zullich. 2023. Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?. In World Conf. on Explainable Artificial Intelligence. Springer, 420–432.

2. Toward a General Framework for Multimodal Big Data Analysis

3. Luigi Bellomarini, Georg Gottlob, Andreas Pieris, and Emanuel Sallinger. 2017. Swift logic for big data and knowledge graphs. In Int. Joint Conf. on Artificial Intelligence. Springer, 2–10.

4. Yoshua Bengio, Réjean Ducharme, and Pascal Vincent. 2000. A neural probabilistic language model. Advances in neural information processing systems 13 (2000), 932–938.

5. Big Data Semantics

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