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 (AIED (2), 2018)

Interpreting Language Models Through Knowledge Graph Extraction. - Vinitra Swamy; Angelika Romanou; Martin Jaggi (CoRR, 2021)

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 (COLING, 2022)

FATED 2022: Fairness, Accountability, and Transparency in Educational Data. - Collin F. Lynch; Mirko Marras; Mykola Pechenizkiy; Anna N. Rafferty; Steven Ritter 001; Vinitra Swamy; Renzhe Yu (EDM, 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 (EDM, 2022)

Meta Transfer Learning for Early Success Prediction in MOOCs. - Vinitra Swamy; Mirko Marras; Tanja Käser (L@S, 2022)

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 (AAAI, 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 (EMNLP (Findings), 2023)

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. - Vinitra Swamy; Sijia Du; Mirko Marras; Tanja Käser (LAK, 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 (NeurIPS, 2023)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. - Vinitra Swamy; Jibril Frej; Tanja Käser (CoRR, 2023)

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. - Zeming Chen 001; Alejandro Hernández-Cano; Angelika Romanou; Antoine Bonnet; Kyle Matoba; Francesco Salvi; Matteo Pagliardini; Simin Fan; Andreas Köpf; Amirkeivan Mohtashami; Alexandre Sallinen; Alireza Sakhaeirad; et al. (CoRR, 2023)

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. - Isadora Salles; Paola Mejia-Domenzain; Vinitra Swamy; Julian Blackwell; Tanja Käser (AIED Companion (1), 2024)

AI or Human? Evaluating Student Feedback Perceptions in Higher Education. - Tanya Nazaretsky; Paola Mejia-Domenzain; Vinitra Swamy; Jibril Frej; Tanja Käser (EC-TEL (1), 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 (EDM, 2024)

Human-Centric eXplainable AI in Education (HEXED) Workshop. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2024)

Preface. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (HEXED/L3MNGET@EDM, 2024)

InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. - Vinitra Swamy; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser (CoRR, 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)

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback. - Vinitra Swamy; Davide Romano; Bhargav Srinivasa Desikan; Oana-Maria Camburu; Tanja Käser (AAAI, 2025)

The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. - Vinitra Swamy; Jakub Kuzilek; Juan D. Pinto; Luc Paquette; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2025)

Intrinsic User-Centric Interpretability through Global Mixture of Experts. - Vinitra Swamy; Syrielle Montariol; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser (ICLR, 2025)

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions. - Tanya Nazaretsky; Paola Mejia-Domenzain; Vinitra Swamy; Jibril Frej; Tanja Käser (Comput. Educ. Artif. Intell., 2025)

Viewpoint: The Future of Human-Centric Explainable Artificial Intelligence (XAI) is not Post-Hoc Explanations. - Vinitra Swamy; Jibril Frej; Tanja Käser (J. Artif. Intell. Res., 2025)

A Human-Centric Approach to Explainable AI for Personalized Education. - Vinitra Swamy (CoRR, 2025)