| 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 | 555 | 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 | 81 | 2022 |
| 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 | 79 | 2024 |
| The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions T Nazaretsky, P Mejia-Domenzain, V Swamy, J Frej, T Käser Computers and Education: Artificial Intelligence 8, 100368, 2025 | 76 | 2025 |
| 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 | 42 | 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 | 34 | 2023 |
| The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations V Swamy, J Frej, T Käser Journal of Artificial Intelligence Research (JAIR), 2023 | 32 | 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 | 29 | 2021 |
| 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 Findings), 2023 | 28* | 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 | 21 | 2022 |
| 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 International Conference on Artificial Intelligence in Education …, 2018 | 21 | 2018 |
| 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 | 13 | 2023 |
| iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback V Swamy, D Romano, BS Desikan, OM Camburu, T Käser The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025 | 12* | 2025 |
| Intrinsic User-Centric Interpretability through Global Mixture of Experts V Swamy, S Montariol, J Blackwell, J Frej, M Jaggi, T Käser The Thirteenth International Conference on Learning Representations (ICLR), 2025 | 12* | 2025 |
| Meditron: Open medical foundation models adapted for clinical practice Z Chen, A Romanou, A Bonnet, A Hernández-Cano, B Alkhamissi, ... | 12 | 2024 |
| 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 | 9 | 2024 |
| 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 |
| Pedagogy, Infrastructure, and Analytics for Data Science Education at Scale V Swamy EECS Department, University of California, Berkeley, 2018 | 3 | 2018 |
Tanja KäserTenure Track Assistant ProfessorVerified email at epfl.ch
