| 2026 | ACL | Semantic Span Annotation: An Exploratory Study of LLM Annotation. | Tejas Goyal, Dhriti Krishnan, Anuj Gupta, Jaromr Savelka |
| 2026 | AIED | MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling. | Dhriti Krishnan, Jaromr Savelka |
| 2026 | HCI | Turning Confusion Into Clarity: An Iterative Participatory Design Approach to Interactive AI Literacy Modules. | Aparna Maya Warrier, Jaromr Savelka, Christopher Bogart, Heather Burte |
| 2026 | ITiCSE | Toward Automated Curriculum Design: Ensuring Alignment Among LLM-generated Course Components. | Karthik Mittal, Jaromr Savelka |
| 2026 | ITiCSE | Teaching Debugging in Cloud-Native Application Development: A Course Intervention Study. | Michael Sambou, Can Kultur, Christopher Bogart, Jaromr Savelka |
| 2026 | LAK | Changes in Coding Behavior and Performance Since the Introduction of LLMs. | Yufan Zhang, Jaromr Savelka, Seth Goldstein, Michael Conway |
| 2025 | CSEDU | Auto-Grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges. | Adam Zhang, Heather Burte, Jaromr Savelka, Christopher Bogart, Majd Sakr |
| 2025 | FlAIRS | Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? | Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromr Savelka, Peter Brusilovsky |
| 2025 | HCI | "I Like That You Have to Poke Around": Instructors on How Experiential Approaches to AI Literacy Spark Inquiry and Critical Thinking. | Aparna Maya Warrier, Arav Agarwal, Jaromr Savelka, Christopher Bogart, Heather Burte |
| 2025 | ICAIL | What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions. | Klra Bendov, Toms Knap, Jn Cern, Vojtech Pour, Jaromr Savelka, Ivana Kvapilkov, Jakub Drpal |
| 2025 | ICAIL | Generating Legal Arguments with Automatically Identified Factor Magnitudes. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2025 | ICAIL | Automated Mapping of Legal Criteria to the Texts of Adjudicatory Decisions Using LLMs. | Hannes Westermann, Vern R. Walker, Jaromr Savelka |
| 2025 | ICAIL | Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. | Li Zhang, Morgan A. Gray, Jaromr Savelka, Kevin D. Ashley |
| 2025 | ITiCSE | Show Me the Mastery Learning! Obstacles to Adoption and Opportunities for New Solutions. | Claudio lvarez, Nickolas J. G. Falkner, Pivi Kinnunen, Jaromr Savelka, Lisa Zhang |
| 2025 | ITiCSE | Can GPT4 Generate Effective Feedback on Code Readability? | Xiaotian Su, Yajie Song, Marcus Messer, Jaromr Savelka, Maria Cutumisu, April Yi Wang |
| 2025 | JURIX | Can LLMs Create Legally Relevant Summaries and Analyses of Videos? | Lyra Hoeben-Kuil, Gijs van Dijck, Jaromr Savelka, Johanna Gunawan, Konrad Kollnig, Marta Kolacz, Mindy Duffourc, Shashank Chakravarthy, Hannes Westermann |
| 2025 | JURIX | Do LLMs Truly "Understand" when a Precedent Is Overruled? | Li Zhang, Jaromr Savelka, Kevin D. Ashley |
| 2025 | LAK | Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. | Mohammad Hassany, Peter Brusilovsky, Jaromr Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan |
| 2025 | SIGCSE | AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce. | Jaromr Savelka, Can Kltr, Arav Agarwal, Christopher Bogart, Heather Burte, Adam Zhang, Majd Sakr |
| 2024 | ACE | A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. | Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kltr, Jaromr Savelka, Majd Sakr |
| 2024 | ACE | Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. | Brad Sheese, Mark H. Liffiton, Jaromr Savelka, Paul Denny |
| 2024 | ITiCSE | Desirable Characteristics for AI Teaching Assistants in Programming Education. | Paul Denny, Stephen MacNeil, Jaromr Savelka, Leo Porter, Andrew Luxton-Reilly |
| 2024 | ITiCSE | Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. | Christopher Bogart, Can Kltr, Eric Keylor, Jaromr Savelka, Majd Sakr |
| 2024 | ITiCSE | Designing Modular Auto-graded Programming Projects. | Can Kltr, Jaromr Savelka, Christopher Bogart, Majd Sakr |
| 2024 | ITiCSE | How Instructors Incorporate Generative AI into Teaching Computing. | James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromr Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro |
| 2024 | ITiCSE | Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. | James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromr Savelka, David H. Smith, Sven Strickroth, Daniel Zingaro |
| 2024 | JURIX | Using LLMs to Discover Legal Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2024 | JURIX | Robots in the Middle: Evaluating LLMs in Dispute Resolution. | Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromr Savelka, Sbastien Mees, Mia Godet, Karim Benyekhlef |
| 2024 | SIGCSE | Understanding the Role of Temperature in Diverse Question Generation by GPT-4. | Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromr Savelka, Majd Sakr |
| 2024 | SIGCSE | What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? | Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromr Savelka, Majd Sakr |
| 2024 | SIGCSE | A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. | Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromr Savelka, Majd Sakr |
| 2024 | SIGCSE | Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. | Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromr Savelka, Majd Sakr |
| 2023 | AIED | Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. | Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromr Savelka, Majd Sakr |
| 2023 | CSEDU | Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. | Jaromr Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr |
| 2023 | ICAIL | Automatic Identification and Empirical Analysis of Legally Relevant Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2023 | ICAIL | Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts. | Jaromr Savelka |
| 2023 | ICAIL | Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? | Jaromr Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu |
| 2023 | ICAIL | Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models. | Hannes Westermann, Sbastien Mees, Mia Godet, Aurore Clment Troussel, Jinzhe Tan, Jaromr Savelka, Karim Benyekhlef |
| 2023 | ICAIL | LLMediator: GPT-4 Assisted Online Dispute Resolution. | Hannes Westermann, Jaromr Savelka, Karim Benyekhlef |
| 2023 | ICER | Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. | Jaromr Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr |
| 2023 | ITiCSE | The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. | James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromr Savelka |
| 2023 | ITiCSE | Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. | James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromr Savelka |
| 2023 | ITiCSE | Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? | Jaromr Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr |
| 2023 | JURIX | Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies. | Jakub Drpal, Hannes Westermann, Jaromr Savelka |
| 2023 | JURIX | Can GPT Alleviate the Burden of Annotation? | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2023 | JURIX | From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems. | Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromr Savelka, Karim Benyekhlef |
| 2022 | JURIX | Toward Automatically Identifying Legally Relevant Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2022 | JURIX | Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2021 | EMNLP | Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. | Jaromr Savelka, Kevin D. Ashley |
| 2021 | ICAIL | Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. | Jaromr Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sbastien Mees, Aurore Clment Troussel, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotn, Elizabeth Tippett, Shiwanni Johnson |
| 2021 | ICAIL | Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2021 | ITiCSE | Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? | Mingxiao An, Hongyi Zhang, Jaromr Savelka, Shijie Zhu, Chris Bogart, Majd Sakr |
| 2021 | JURIX | Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2021 | JURIX | Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2020 | JURIX | Learning to Rank Sentences for Explaining Statutory Terms. | Jaromr Savelka, Kevin D. Ashley |
| 2020 | JURIX | Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. | Jaromr Savelka, Hannes Westermann, Karim Benyekhlef |
| 2020 | JURIX | Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2020 | JURIX | Using Argument Mining for Legal Text Summarization. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2019 | ICAIL | Improving Sentence Retrieval from Case Law for Statutory Interpretation. | Jaromr Savelka, Huihui Xu, Kevin D. Ashley |
| 2019 | JURIX | Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2018 | JURIX | Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. | Jaromr Savelka, Kevin D. Ashley |
| 2017 | JURIX | Toward Linking Heterogenous References in Czech Court Decisions to Content. | Jakub Harasta, Jaromr Savelka |
| 2017 | JURIX | Detecting Agent Mentions in U.S. Court Decisions. | Jaromr Savelka, Kevin D. Ashley |
| 2016 | ACL | Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. | Jaromr Savelka, Kevin D. Ashley |
| 2015 | ICAIL | Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. | Jaromr Savelka, Kevin D. Ashley |
| 2015 | JURIX | Applying an Interactive Machine Learning Approach to Statutory Analysis. | Jaromr Savelka, Gaurav Trivedi, Kevin D. Ashley |
| 2014 | JURIX | Mining Information from Statutory Texts in Multi-Jurisdictional Settings. | Jaromr Savelka, Matthias Grabmair, Kevin D. Ashley |
| 2012 | JURIX | Refined Coherence as Constraint Satisfaction Framework for Representing Judicial Reasoning. | Michal Araszkiewicz, Jaromr Savelka |
| 2011 | JURIX | Two Methods for Representing Judicial Reasoning in the Framework of Coherence as Constraint Satisfaction. | Michal Araszkiewicz, Jaromr Savelka |