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2020 – today
- 2024
[i5]Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Chris Pal:
LLMs can learn self-restraint through iterative self-reflection. CoRR abs/2405.13022 (2024)- [i4]Marawan Gamal Abdel Hameed, Aristides Milios, Siva Reddy, Guillaume Rabusseau:
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning. CoRR abs/2407.07802 (2024) - 2023
- [b1]Stan Matwin
, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Generative Methods for Social Media Analysis. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-33616-4, pp. 1-67 - [i3]Aristides Milios, Siva Reddy, Dzmitry Bahdanau:
In-Context Learning for Text Classification with Many Labels. CoRR abs/2309.10954 (2023) - 2022
- [i2]Aristides Milios, Parishad BehnamGhader:
An Analysis of Social Biases Present in BERT Variants Across Multiple Languages. CoRR abs/2211.14402 (2022) - 2021
- [i1]Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Survey of Generative Methods for Social Media Analysis. CoRR abs/2112.07041 (2021)
2010 – 2019
- 2019
- [c1]Aristides Milios, Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis, Stan Matwin:
Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. FUSION 2019: 1-5
Coauthor Index
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