Employing machine learning techniques for detection and classification of phishing emails N Moradpoor, B Clavie, B Buchanan 2017 Computing Conference, 149-156, 2017 | 69 | 2017 |
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification B Clavié, A Ciceu, F Naylor, G Soulié, T Brightwell 28TH INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE & INFORMATION SYSTEMS …, 2023 | 46 | 2023 |
Edubert: Pretrained deep language models for learning analytics B Clavié, K Gal Companion Proceedings of the Tenth International Conference on Learning …, 2020 | 32 | 2020 |
The unreasonable effectiveness of the baseline: discussing SVMs in legal text classification B Clavié, M Alphonsus Legal Knowledge and Information Systems: JURIX 2021, 2021 | 14 | 2021 |
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers B Clavié, G Soulié RecSys in HR’23: The 3rd Workshop on Recommender Systems for Human Resources …, 2023 | 12 | 2023 |
Jacolbert and hard negatives, towards better japanese-first embeddings for retrieval: Early technical report B Clavié arXiv preprint arXiv:2312.16144, 2023 | 5 | 2023 |
Legalmfit: Efficient short legal text classification with LSTM language model pre-training B Clavié, A Gheewala, P Briton, M Alphonsus, R Laabiyad, F Piccoli arXiv preprint arXiv:2109.00993, 2021 | 4 | 2021 |
Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction. B Clavié, K Gal International Educational Data Mining Society, 2020 | 4 | 2020 |
Towards Simple Hybrid Language Model Reasoning Through Human Explanations Enhanced Prompts B Clavié, G Soulié, F Naylor, T Brightwell HHAI 2023: Augmenting Human Intellect, 379-381, 2023 | 2 | 2023 |
JaColBERTv2. 5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources B Clavié arXiv preprint arXiv:2407.20750, 2024 | 1 | 2024 |
rerankers: A Lightweight Python Library to Unify Ranking Methods B Clavié arXiv preprint arXiv:2408.17344, 2024 | | 2024 |