| Participation d’edf r&d à deft 2021 P Suignard, A Benamar, N Messous, C Christophe, M Jubault, M Bothua Traitement Automatique des Langues Naturelles, 72-81, 2021 | 7 | 2021 |
| Med42 - A Clinical Large Language Model C Christophe, A Gupta, N Hayat, P Kanithi, A Al-Mahrooqi, P Munjal, ... https://huggingface.co/m42-health/med42-70b, 2023 | 5 | 2023 |
| How to detect novelty in textual data streams? A comparative study of existing methods C Christophe, J Velcin, J Cugliari, P Suignard, M Boumghar Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop …, 2020 | 4 | 2020 |
| Monitoring geometrical properties of word embeddings for detecting the emergence of new topics C Christophe, J Velcin, J Cugliari, M Boumghar, P Suignard arXiv preprint arXiv:2111.03496, 2021 | 3 | 2021 |
| Change detection in textual classification with unexpected dynamics C Christophe, J Velcin, J Cugliari, P Suignard, M Boumghar Expert Systems with Applications 176, 114831, 2021 | 1 | 2021 |
| Med42--Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches C Christophe, PK Kanithi, P Munjal, T Raha, N Hayat, R Rajan, ... arXiv preprint arXiv:2404.14779, 2024 | | 2024 |
| Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches C Christophe, P Kanithi, P Munjal, T Raha, N Hayat, R Rajan, ... AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | | 2024 |
| Détection de nouveauté au plus tôt dans des flux de données textuelles C Christophe Université de Lyon, 2021 | | 2021 |
| Utilisation de techniques de modélisation thématiques pour la détection de nouveauté dans des flux de données textuelles C Christophe, J Velcin, M Boumghar Extraction et Gestion des connaissances (EGC2018), 2018 | | 2018 |
Philippe SuignardEDF R&DVerified email at edf.fr
