Vinitra Swamy

38 papers A* 5A 1B 7Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Who Gives Feedback Matters: Student Biases Towards Human and AI -Generated Formative Feedback.
J. Comput. Assist. Learn.
Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2025 J jnl
A Human-Centric Approach to Explainable AI for Personalized Education.
CoRR
Vinitra Swamy
2025 A* conf
Intrinsic User-Centric Interpretability through Global Mixture of Experts.
ICLR
Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
2025 A* conf
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling.
EMNLP
Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Käser
2025 J jnl
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling.
CoRR
Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Käser
2025 B conf
The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Käser, Qianhui Liu, Lea Cohausz
2025 J jnl
The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions.
Comput. Educ. Artif. Intell.
Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2025 J jnl
Viewpoint: The Future of Human-Centric Explainable Artificial Intelligence (XAI) is not Post-Hoc Explanations.
J. Artif. Intell. Res.
Vinitra Swamy, Jibril Frej, Tanja Käser
2025 A* conf
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback.
AAAI
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser
2024 — conf
AI or Human? Evaluating Student Feedback Perceptions in Higher Education.
EC-TEL (1)
Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024 J jnl
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback.
CoRR
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser
2024 B conf
Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 — conf
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.
AIED Companion (1)
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
2024 J jnl
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection.
CoRR
Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser
2024 J jnl
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks.
CoRR
Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
2024 — ed.
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), Atlanta, Georgia, USA, July 14, 2024.
HEXED/L3MNGET@EDM
Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024 — conf
Preface.
HEXED/L3MNGET@EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 B conf
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.
EDM
Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024 J jnl
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.
CoRR
Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2023 J jnl
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.
CoRR
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
2023 A* conf
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks.
NeurIPS
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
2023 J jnl
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks.
CoRR
Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
2023 A* conf
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.
AAAI
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
2023 J jnl
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations.
CoRR
Vinitra Swamy, Jibril Frej, Tanja Käser
2023 A conf
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design.
LAK
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
2023 — conf
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance.
EMNLP (Findings)
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
2023 J jnl
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance.
CoRR
Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
2022 B conf
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling.
COLING
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
2022 J jnl
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling.
CoRR
Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
2022 B conf
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs.
EDM
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
2022 J jnl
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs.
CoRR
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
2022 B conf
FATED 2022: Fairness, Accountability, and Transparency in Educational Data.
EDM
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
2022 B conf
Meta Transfer Learning for Early Success Prediction in MOOCs.
L@S
Vinitra Swamy, Mirko Marras, Tanja Käser
2022 J jnl
Meta Transfer Learning for Early Success Prediction in MOOCs.
CoRR
Vinitra Swamy, Mirko Marras, Tanja Käser
2022 J jnl
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.
CoRR
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser
2022 J jnl
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design.
CoRR
Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
2021 J jnl
Interpreting Language Models Through Knowledge Graph Extraction.
CoRR
Vinitra Swamy, Angelika Romanou, Martin Jaggi
2018 — conf
Deep Knowledge Tracing for Free-Form Student Code Progression.
AIED (2)
Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler