Vinitra Swamy

According to our database, Vinitra Swamy authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback.

Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser

CoRR, 2024

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks.

Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser

CoRR, 2024

Preface.

Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

Human-Centric eXplainable AI in Education (HEXED) Workshop.

Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.

Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

Proceedings of the 17th International Conference on Educational Data Mining, 2024

AI or Human? Evaluating Student Feedback Perceptions in Higher Education.

Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.

Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut

CoRR, 2023

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.

Vinitra Swamy, Jibril Frej, Tanja Käser

CoRR, 2023

MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks.

Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design.

Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance.

Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.

Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Meta Transfer Learning for Early Success Prediction in MOOCs.

Vinitra Swamy, Mirko Marras, Tanja Käser

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs.

Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser

Proceedings of the 15th International Conference on Educational Data Mining, 2022

FATED 2022: Fairness, Accountability, and Transparency in Educational Data.

Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling.

Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Interpreting Language Models Through Knowledge Graph Extraction.

Vinitra Swamy, Angelika Romanou, Martin Jaggi

CoRR, 2021

2018

Deep Knowledge Tracing for Free-Form Student Code Progression.

Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018