| 2025 | COLING | GraphRAG: Leveraging Graph-Based Efficiency to Minimize Hallucinations in LLM-Driven RAG for Finance Data. | Mariam Barry, Gatan Caillaut, Pierre Halftermeyer, Raheel Qader, Mehdi Mouayad, Fabrice Le Deit, Dimitri Cariolaro, Joseph Gesnouin |
| 2025 | NAACL | DOLFIN - Document-Level Financial Test-Set for Machine Translation. | Mariam Nakhl, Marco Dinarelli, Raheel Qader, Emmanuelle Esperana-Rodier, Herv Blanchon |
| 2024 | EAMT | Exploring NMT Explainability for Translators Using NMT Visualising Tools. | Gabriela Gonzlez Sez, Mariam Nakhl, James Turner, Fabien Lopez, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperana-Rodier, Sui He, Raheel Qader, Caroline Rossi, Didier Schwab, Jun Yang |
| 2021 | ACL | Encouraging Neural Machine Translation to Satisfy Terminology Constraints. | Melissa Ailem, Jingshu Liu, Raheel Qader |
| 2020 | LREC | Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling. | Raheel Qader, Franois Portet, Cyril Labb |
| 2019 | INLG | Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models. | Raheel Qader, Franois Portet, Cyril Labb |
| 2018 | INLG | Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation. | Raheel Qader, Khoder Jneid, Franois Portet, Cyril Labb |
| 2016 | Interspeech | Improving TTS with Corpus-Specific Pronunciation Adaptation. | Marie Tahon, Raheel Qader, Gwnol Lecorv, Damien Lolive |