Publikationsliste Prof. Abraham Bernstein

Heitz, L., Croci, J., Sachdeva, M., & Bernstein, A. (2026). Informfully Research Platform - An Open Source Project for Conducting Empirical Research with Recommender Systems ACM Transactions on Recommender Systems, 4, 1–22. https://doi.org/10.1145/3820883

Titov, S., Grotov, K., Sarasua Garmendia, C., Golubev, Y., Ramasamy, D., Bacchelli, A., Bernstein, A., & Bryksin, T. (2026). Observing fine-grained changes in Jupyter notebooks during development time Journal of Systems and Software, 241, 112983. https://doi.org/10.1016/j.jss.2026.112983

Bachmann, F., van der Weijden, D., Sarasua Garmendia, C., & Bernstein, A. (2026). Estimating the Recommendation Certainty in Candidate‐Based Voting Advice Applications Politics and Governance, 14, 11256. https://doi.org/10.17645/pag.11256

Barmettler, J., Bernstein, A., & Rossetto, L. (2026). ConceptFormer: Towards Graph-Native Grounding of Large Language Models via Latent Concept Injection 587–596. https://doi.org/10.1145/3774905.3794653

Wardatzky, K., Inel, O., Rossetto, L., & Bernstein, A. (2025). Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation ACM Transactions on Recommender Systems, 3, 1–35. https://doi.org/10.1145/3716394

Ruosch, F., Sarasua Garmendia, C., & Bernstein, A. (2025). Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web Transactions on Graph Data and Knowledge (TGDK), 3, 4:1-4:33. https://doi.org/10.4230/TGDK.3.3.4

Ramasamy, D., Sarasua Garmendia, C., & Bernstein, A. (2025). AI support for data scientists: An empirical study on workflow and alternative code recommendations Empirical Software Engineering, 30, 133. https://doi.org/10.1007/s10664-025-10622-4

Willis, N., Bernstein, A., & Rossetto, L. (2025). Effects of Human Cognition-Inspired Task Presentation on Interactive Video Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–25. https://doi.org/10.1145/3727983

Bachmann, F., Van Der Weijden, D., Heitz, L., Sarasua Garmendia, C., & Bernstein, A. (2025). Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions PLoS ONE, 20, e0322690. https://doi.org/10.1371/journal.pone.0322690

Sauter, L., Gasser, R., Schuldt, H., Bernstein, A., & Rossetto, L. (2025). Performance Evaluation in Multimedia Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–23. https://doi.org/10.1145/3678881

Kottekulam Vasu, R., Basu, C., Dalvi Mishra, B., Sarasua Garmendia, C., Peter Clark, & Bernstein, A. (2025). HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance 25425–25450. https://doi.org/10.18653/v1/2025.emnlp-main.1292

Wardatzky, K., Inel, O., & Bernstein, A. (2025, September 26). Toward Operationalizing a Comprehensive Evaluation Framework for Recommender Systems Explanations Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025), Prague, Czech Republic. https://ceur-ws.org/Vol-4063/paper2.pdf

Heitz, L., Li, R., Inel, O., & Bernstein, A. (2025). Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations 792–801. https://doi.org/10.1145/3705328.3748148

Li, R., Heitz, L., Inel, O., & Bernstein, A. (2025). D-RDW: Diversity-Driven Random Walks for News Recommender Systems 558–563. https://doi.org/10.1145/3705328.3748016

Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., & Bernstein, A. (2025). NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System 3990–3993. https://doi.org/10.1145/3726302.3730153

Ruosch, F., Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2025). An Extended Evaluation of Single-Label Multi-modal Field of Research Classification Using a Taxonomy-Based Metric Lecture Notes in Computer Science, 167–182. https://doi.org/10.1007/978-3-031-78955-7_16

Gilardi, F., Kasirzadeh, A., Bernstein, A., Staab, S., & Gohdes, A. (2024). We need to understand the effect of narratives about generative AI Nature Human Behaviour, 8, 2251–2252. https://doi.org/10.1038/s41562-024-02026-z

Tolmeijer, S., Arpatzoglou, V., Rossetto, L., & Bernstein, A. (2024). Trolleys, crashes, and perception - a survey on how current autonomous vehicles debates invoke problematic expectations AI and Ethics, 4, 473–484. https://doi.org/10.1007/s43681-023-00284-7

Willi, J., Bernstein, A., & Rossetto, L. (2024). Unified Multimedia Segmentation - A Comprehensive Model for URI-based Media Segment Representation Transactions on Graph Data and Knowledge (TGDK), 2, 1–34. https://doi.org/10.4230/TGDK.2.3.1

Ruosch, F., Sarasua Garmendia, C., Reed, C., & Bernstein, A. (2024). Toward the Argument Web of Science In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 365–366). I O S Press. https://doi.org/10.3233/faia240342