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2020 – today
- 2026
[i8]Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat, Aurélie Névéol, Jörg Tiedemann:
Life Cycle-Aware Evaluation of Knowledge Distillation for Machine Translation: Environmental Impact and Translation Quality Trade-offs. CoRR abs/2602.09691 (2026)- [i7]Ona de Gibert, Joseph Attieh, Timothee Mickus, Yves Scherrer, Jörg Tiedemann:
KD4MT: A Survey of Knowledge Distillation for Machine Translation. CoRR abs/2602.15845 (2026) - 2025
- [c12]Sara Karam, Ralph Aouad, Joseph Attieh
, Joe Tekli:
Mitigating the Capacity Gap in Knowledge Distillation via Iterative Tutoring. AICCSA 2025: 1-5 - [c11]Hengyu Luo, Zihao Li, Joseph Attieh, Sawal Devkota, Ona de Gibert, Xu Huang, Shaoxiong Ji, Peiqin Lin, Bhavani Sai Praneeth Varma Mantina, Ananda Sreenidhi, Raúl Vázquez, Mengjie Wang, Samea Yusofi, Fei Yuan, Jörg Tiedemann:
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models. EMNLP (System Demonstrations) 2025: 602-614 - [c10]Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann:
Scaling Low-Resource MT via Synthetic Data Generation with LLMs. EMNLP 2025: 27674-27692 - [c9]Johanna Männistö, Joseph Attieh, Jörg Tiedemann:
A Comparative Study of PEFT Methods for Python Code Generation. NoDaLiDa/Baltic-HLT 2025: 390-396 - [c8]Raúl Vázquez, Timothee Mickus, Elaine Zosa, Teemu Vahtola, Jörg Tiedemann, Aman Sinha, Vincent Segonne, Fernando Sánchez-Vega, Alessandro Raganato, Jindrich Libovický, Jussi Karlgren, Shaoxiong Ji, Jindrich Helcl, Liane Guillou, Ona de Gibert, Jaione Bengoetxea, Joseph Attieh, Marianna Apidianaki:
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. SemEval@ACL 2025: 2472-2497 - [i6]Hengyu Luo, Zihao Li, Joseph Attieh, Sawal Devkota, Ona de Gibert, Shaoxiong Ji, Peiqin Lin, Bhavani Sai Praneeth Varma Mantina, Ananda Sreenidhi, Raúl Vázquez, Mengjie Wang, Samea Yusofi, Jörg Tiedemann:
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models. CoRR abs/2504.04155 (2025) - [i5]Raúl Vázquez, Timothee Mickus, Elaine Zosa, Teemu Vahtola, Jörg Tiedemann, Aman Sinha, Vincent Segonne, Fernando Sánchez-Vega, Alessandro Raganato, Jindrich Libovický, Jussi Karlgren, Shaoxiong Ji, Jindrich Helcl, Liane Guillou, Ona de Gibert, Jaione Bengoetxea, Joseph Attieh, Marianna Apidianaki:
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration Mistakes. CoRR abs/2504.11975 (2025) - [i4]Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann:
Scaling Low-Resource MT via Synthetic Data Generation with LLMs. CoRR abs/2505.14423 (2025) - 2024
- [j2]Abraham Woubie, Enoch Solomon, Joseph Attieh:
Maintaining Privacy in Face Recognition Using Federated Learning Method. IEEE Access 12: 39603-39613 (2024) - [c7]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh:
Isotropy, Clusters, and Classifiers. ACL (Short Papers) 2024: 75-84 - [c6]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert Bonet, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann:
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. EACL (Demonstrations) 2024: 127-136 - [i3]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh:
Isotropy, Clusters, and Classifiers. CoRR abs/2402.03191 (2024) - [i2]Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann:
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. CoRR abs/2403.07544 (2024) - [i1]Timothee Mickus, Raúl Vázquez, Joseph Attieh:
I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures. CoRR abs/2404.17918 (2024) - 2023
- [j1]Joseph Attieh, Joe Tekli:
Supervised term-category feature weighting for improved text classification. Knowl. Based Syst. 261: 110215 (2023) - [c5]Joseph Attieh, Abraham Woubie Zewoudie, Vladimir Vlassov, Adrian Flanagan, Tom Bäckström:
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. ICDAR (5) 2023: 121-136 - [c4]Joseph Attieh, Joe Tekli:
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation. TrustCom 2023: 2341-2348 - 2022
- [c3]Maria Luisa Ripoll, Fadi Hassan, Joseph Attieh, Guillem Collell, Abdessalam Bouchekif:
Multi-Lingual Contextual Hate Speech Detection Using Transformer-Based Ensembles. FIRE (Working Notes) 2022: 552-562 - [c2]Joseph Attieh, Fadi Hassan:
Arabic Dialect Identification and Sentiment Classification using Transformer-based Models. WANLP@EMNLP 2022: 485-490 - [c1]Joseph Attieh, Fadi Hassan:
Pythoneers at WANLP 2022 Shared Task: Monolingual AraBERT for Arabic Propaganda Detection and Span Extraction. WANLP@EMNLP 2022: 534-540
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