| Meditron-70b: Scaling medical pretraining for large language models Z Chen, AH Cano, A Romanou, A Bonnet, K Matoba, F Salvi, ... arXiv preprint arXiv:2311.16079, 2023 | 228 | 2023 |
| Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs V Swamy, B Radmehr, N Krco, M Marras, T Käser The 15th International Conference on Educational Data Mining (EDM), 2022 | 41 | 2022 |
| Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design V Swamy, S Du, M Marras, T Käser ⭐ The 13th International Learning Analytics and Knowledge Conference (LAK), 2023 | 27 | 2023 |
| Interpreting Language Models Through Knowledge Graph Extraction V Swamy, A Romanou, M Jaggi NeurIPS Workshop on eXplainable AI Approaches for Debugging and Diagnosis, 2021 | 25 | 2021 |
| Deep Knowledge Tracing for Free-Form Student Code Progression V Swamy, A Guo, S Lau, W Wu, M Wu, Z Pardos, D Culler The 19th Conference on Artificial Intelligence in Education (AIED), 348-352, 2018 | 19 | 2018 |
| The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations V Swamy, J Frej, T Käser arXiv preprint arXiv:2307.00364, 2023 | 17 | 2023 |
| Meta Transfer Learning for Early Success Prediction in MOOCs V Swamy, M Marras, T Käser The 9th ACM Conference on Learning at Scale (L@S), 2022 | 14 | 2022 |
| Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance T Wambsganss, X Su, V Swamy, SP Neshaei, R Rietsche, T Käser Findings of the Association for Computational Linguistics (EMNLP), 2023 | 12* | 2023 |
| MultiModN-Multimodal, Multi-Task, Interpretable Modular Networks V Swamy, M Satayeva, J Frej, T Bossy, T Vogels, M Jaggi, T Käser, ... The 37th Conference on Neural Information Processing Systems (NeurIPS), 2023 | 12* | 2023 |
| MEDITRON-70B: Scaling medical pretraining for large language models (2023) Z Chen, AH Cano, A Romanou, A Bonnet, K Matoba, F Salvi, ... URL: https://github. com/epfLLM/meditron, 0 | 12 | |
| RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education M Asadi, V Swamy, J Frej, J Vignoud, M Marras, T Käser The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 | 10 | 2023 |
| Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling T Wambsganss*, V Swamy*, R Rietsche, T Käser The 29th International Conference on Computational Linguistics (COLING), 2022 | 9 | 2022 |
| FATED 2022: Fairness, accountability, and transparency in educational data C Lynch, M Marras, M Pechenizkiy, A Rafferty, S Ritter, V Swamy, R Yu The 15th International Conference on Educational Data Mining (EDM), 848-849, 2022 | 4 | 2022 |
| Machine Learning for Humanitarian Data: Tag Prediction using the HXL Standard V Swamy, E Chen, A Vankayalapati, A Aggarwal, C Liu, V Mandava, ... The 25th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2019 | 4 | 2019 |
| InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts V Swamy, S Montariol, J Blackwell, J Frej, M Jaggi, T Käser arXiv preprint arXiv:2402.02933, 2024 | 3* | 2024 |
| AI or Human? Evaluating Student Feedback Perceptions in Higher Education T Nazaretsky, P Mejia-Domenzain, V Swamy, J Frej, T Käser 🏆 The 19th European Conference on Technology-Enhanced Learning (ECTEL), 2024 | 3 | 2024 |
| MEDITRON: Open Medical Foundation Models Adapted for Clinical Practice A Bosselut, Z Chen, A Romanou, A Bonnet, A Hernández-Cano, ... | 2 | 2024 |
| Pedagogy, Infrastructure, and Analytics for Data Science Education at Scale V Swamy EECS Department, University of California, Berkeley, 2018 | 2 | 2018 |
| Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection I Salles, P Mejia-Domenzain, V Swamy, J Blackwell, T Käser 🏆 International Conference on Artificial Intelligence in Education (AIED …, 2024 | 1 | 2024 |
| Human-Centric eXplainable AI in Education (HEXED) Workshop JD Pinto, L Paquette, V Swamy, T Käser, Q Liu, L Cohausz The 17th International Conference on Educational Data Mining (EDM), 2024 | 1 | 2024 |
Tanja KäserTenure Track Assistant ProfessorVerified email at epfl.ch
