Jaromír Savelka

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 73

Top Topics

Legal Information

Top Venues

Publications

Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. CoRR (2024)
Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. SIGCSE (2) (2024)
Jakub Harasta, Tereza Novotná, Jaromír Savelka
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human. CoRR (2024)
Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromír Savelka, Majd Sakr
Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. SIGCSE (2) (2024)
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 Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE (2024)
Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromír Savelka, Majd Sakr
What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? SIGCSE (1) (2024)
Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr
Designing Modular Auto-graded Programming Projects. ITiCSE (2) (2024)
Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) (2024)
Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. ACE (2024)
Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
Desirable Characteristics for AI Teaching Assistants in Programming Education. CoRR (2024)
James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) (2024)
Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr
Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. ITiCSE (2) (2024)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED (2023)
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, Jaromír Savelka
Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) (2023)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? CoRR (2023)
Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. CoRR (2023)
Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems. JURIX (2023)
Hannes Westermann, Sébastien Meeùs, Mia Godet, Aurore Clément Troussel, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models. ASAIL@ICAIL (2023)
Jakub Drápal, Hannes Westermann, Jaromír Savelka
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies. JURIX (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR (2023)
Mark H. Liffiton, Brad Sheese, Jaromír Savelka, Paul Denny
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) (2023)
Jaromír Savelka, Kevin D. Ashley
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers Artif. Intell. 6 (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR (2023)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? ASAIL@ICAIL (2023)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Automatic Identification and Empirical Analysis of Legally Relevant Factors. ICAIL (2023)
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 Peterson, Raymond Pettit, Brent N. Reeves, Jaromír Savelka
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR (2023)
Jaromír Savelka
Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts. ICAIL (2023)
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 Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR (2023)
Jaromír Savelka
Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts. CoRR (2023)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. CoRR (2023)
Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
LLMediator: GPT-4 Assisted Online Dispute Resolution. AI4AJ@ICAIL (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? ITiCSE (1) (2023)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Can GPT Alleviate the Burden of Annotation? JURIX (2023)
Jaromír Savelka, Paul Denny, Mark H. Liffiton, Brad Sheese
Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models. CoRR (2023)
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, Jaromír Savelka
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR (2023)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Explaining Legal Concepts with Augmented Large Language Models (GPT-4). CoRR (2023)
Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. CoRR (2023)
Jakub Drápal, Hannes Westermann, Jaromír Savelka
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies. CoRR (2023)
Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems. CoRR (2023)
Mark H. Liffiton, Brad E. Sheese, Jaromír Savelka, Paul Denny
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. Koli Calling (2023)
Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
LLMediator: GPT-4 Assisted Online Dispute Resolution. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. ICER (1) (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. CoRR (2022)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Toward Automatically Identifying Legally Relevant Factors. JURIX (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. JURIX (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Data-Centric Machine Learning in the Legal Domain. CoRR (2022)
Jaromír Savelka, Kevin D. Ashley
Legal information retrieval for understanding statutory terms. Artif. Intell. Law 30 (2) (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. JURIX (2021)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. CoRR (2021)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. CoRR (2021)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. ICAIL (2021)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. CoRR (2021)
Jaromír Savelka, Kevin D. Ashley
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. CoRR (2021)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef
Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. CoRR (2021)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Aurore Clément Troussel, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. ICAIL (2021)
Jaromír Savelka, Kevin D. Ashley
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. EMNLP (Findings) (2021)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. JURIX (2021)
Mingxiao An, Hongyi Zhang, Jaromír Savelka, Shijie Zhu, Chris Bogart, Majd Sakr
Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? ITiCSE (2021)
Jakub Harasta, Tereza Novotná, Jaromír Savelka
Citation Data of Czech Apex Courts. CoRR (2020)
Jaromír Savelka, Kevin D. Ashley
Learning to Rank Sentences for Explaining Statutory Terms. ASAIL@JURIX (2020)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef
Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. ASAIL@JURIX (2020)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Using Argument Mining for Legal Text Summarization. JURIX (2020)
Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
Paragraph Similarity Scoring and Fine-Tuned BERT for Legal Information Retrieval and Entailment. JSAI-isAI Workshops (2020)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. JURIX (2020)
Jaromír Savelka, Huihui Xu, Kevin D. Ashley
Improving Sentence Retrieval from Case Law for Statutory Interpretation. ICAIL (2019)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. JURIX (2019)
Jakub Harasta, Jaromír Savelka, Frantisek Kasl, Adéla Kotková, Pavel Loutocký, Jakub Mísek, Daniela Procházková, Helena Pullmannová, Petr Semenisín, Tamara Sejnová, Nikola Simková, Michal Vosinek, Lucie Zavadilová, Jan Zibner
Annotated Corpus of Czech Case Law for Reference Recognition Tasks. TSD (2018)
Jaromír Savelka, Kevin D. Ashley
Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. JURIX (2018)
Jakub Harasta, Jaromír Savelka
Toward Linking Heterogenous References in Czech Court Decisions to Content. JURIX (2017)
Jaromír Savelka, Kevin D. Ashley
Detecting Agent Mentions in U.S. Court Decisions. JURIX (2017)
Jaromír Savelka, Kevin D. Ashley
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. ArgMining@ACL (2016)
Jaromír Savelka, Gaurav Trivedi, Kevin D. Ashley
Applying an Interactive Machine Learning Approach to Statutory Analysis. JURIX (2015)
Jaromír Savelka, Kevin D. Ashley
Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. ICAIL (2015)
Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley
Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX (2014)
Michal Araszkiewicz, Jaromír Savelka
Refined Coherence as Constraint Satisfaction Framework for Representing Judicial Reasoning. JURIX (2012)
Michal Araszkiewicz, Jaromír Savelka
Two Methods for Representing Judicial Reasoning in the Framework of Coherence as Constraint Satisfaction. JURIX (2011)
Matej Myska, Terezie Smejkalová, Jaromír Savelka, Martin Skop
Creative Commons and Grand Challenge to Make Legal Language Simple. AICOL (2011)