Jaromír Savelka

119 papers A 1C 32Misc 1Journal 45Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Changes in Coding Behavior and Performance Since the Introduction of LLMs. CoRR Yufan Zhang, Jaromír Savelka, Seth Copen Goldstein, Michael Conway
2026	J	`jnl`	It cannot be right if it was written by AI: on lawyers' preferences of documents perceived as authored by an LLM vs a human. Artif. Intell. Law Jakub Harasta, Tereza Novotná, Jaromír Savelka
2025	—	`conf`	"I Like That You Have to Poke Around": Instructors on How Experiential Approaches to AI Literacy Spark Inquiry and Critical Thinking. HCI (81) Aparna Maya Warrier, Arav Agarwal, Jaromír Savelka, Christopher Bogart, Heather Burte
2025	J	`jnl`	"I Like That You Have to Poke Around": Instructors on How Experiential Approaches to AI Literacy Spark Inquiry and Critical Thinking. CoRR Aparna Maya Warrier, Arav Agarwal, Jaromír Savelka, Christopher Bogart, Heather Burte
2025	J	`jnl`	A comparative study of AI-generated and human-crafted learning objectives in computing education. J. Comput. Assist. Learn. Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Jaromír Savelka, Majd Sakr
2025	J	`jnl`	AI Literacy Assessment Revisited: A Task-Oriented Approach Aligned with Real-world Occupations. CoRR Christopher Bogart, Aparna Maya Warrier, Arav Agarwal, Ross Higashi, Yufan Zhang, Jesse Flot, Jaromír Savelka, Heather Burte, Majd Sakr
2025	J	`jnl`	AI Literacy for Community Colleges: Instructors' Perspectives on Scenario-Based and Interactive Approaches to Teaching AI. CoRR Aparna Maya Warrier, Arav Agarwal, Jaromír Savelka, Christopher A. Bogart, Heather Burte
2025	—	`conf`	AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce. SIGCSE (1) Jaromír Savelka, Can Kültür, Arav Agarwal, Christopher Bogart, Heather Burte, Adam Zhang, Majd Sakr
2025	J	`jnl`	AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce. CoRR Jaromír Savelka, Can Kültür, Arav Agarwal, Christopher Bogart, Heather Burte, Adam Zhang, Majd Sakr
2025	—	`conf`	Are Students' Evaluations of Auto-Graders Biased by Their Grades? EC-TEL (2) Yufan Zhang, Jaromír Savelka, Heather Burte, Christopher Bogart, Seth Copen Goldstein, Majd Sakr
2025	—	`conf`	Auto-Grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges. CSEDU (1) Adam Zhang, Heather Burte, Jaromír Savelka, Christopher Bogart, Majd Sakr
2025	J	`jnl`	Auto-grader Feedback Utilization and Its Impacts: An Observational Study Across Five Community Colleges. CoRR Adam Zhang, Heather Burte, Jaromír Savelka, Christopher Bogart, Majd Sakr
2025	C	`conf`	Automated Mapping of Legal Criteria to the Texts of Adjudicatory Decisions Using LLMs. ICAIL Hannes Westermann, Vern R. Walker, Jaromír Savelka
2025	—	`conf`	Can GPT4 Generate Effective Feedback on Code Readability? ITiCSE (2) Xiaotian Su, Yajie Song, Marcus Messer, Jaromír Savelka, Maria Cutumisu, April Yi Wang
2025	C	`conf`	Can LLMs Create Legally Relevant Summaries and Analyses of Videos? JURIX Lyra Hoeben-Kuil, Gijs van Dijck, Jaromír Savelka, Johanna Gunawan, Konrad Kollnig, Marta Kolacz, Mindy Duffourc, Shashank Chakravarthy, Hannes Westermann
2025	J	`jnl`	Can LLMs Create Legally Relevant Summaries and Analyses of Videos? CoRR Lyra Hoeben-Kuil, Gijs van Dijck, Jaromír Savelka, Johanna Gunawan, Konrad Kollnig, Marta Kolacz, Mindy Duffourc, Shashank Chakravarthy, Hannes Westermann
2025	C	`conf`	Do LLMs Truly "Understand" when a Precedent Is Overruled? JURIX Li Zhang, Jaromír Savelka, Kevin D. Ashley
2025	J	`jnl`	Do LLMs Truly Understand When a Precedent Is Overruled? CoRR Li Zhang, Jaromír Savelka, Kevin D. Ashley
2025	Misc	`conf`	Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? FLAIRS Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromír Savelka, Peter Brusilovsky
2025	A	`conf`	Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. LAK Mohammad Hassany, Peter Brusilovsky, Jaromír Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan
2025	C	`conf`	Generating Legal Arguments with Automatically Identified Factor Magnitudes. ICAIL Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2025	—	`conf`	Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. ASAIL@ICAIL Li Zhang, Morgan A. Gray, Jaromír Savelka, Kevin D. Ashley
2025	J	`jnl`	Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. CoRR Li Zhang, Morgan A. Gray, Jaromír Savelka, Kevin D. Ashley
2025	—	`conf`	Show Me the Mastery Learning! Obstacles to Adoption and Opportunities for New Solutions. ITiCSE (1) Claudio Álvarez, Nickolas J. G. Falkner, Päivi Kinnunen, Jaromír Savelka, Lisa Zhang
2025	—	`conf`	What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions. ASAIL@ICAIL Klára Bendová, Tomás Knap, Ján Cerný, Vojtech Pour, Jaromír Savelka, Ivana Kvapilíková, Jakub Drápal
2025	J	`jnl`	What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions. CoRR Klára Bendová, Tomás Knap, Ján Cerný, Vojtech Pour, Jaromír Savelka, Ivana Kvapilíková, Jakub Drápal
2024	—	`conf`	A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. SIGCSE Virtual (1) Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromír Savelka, Majd Sakr
2024	C	`conf`	A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE 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
2024	J	`jnl`	Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice. CoRR Hannes Westermann, Jaromír Savelka
2024	—	`conf`	Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners. SIGCSE (2) Ying-Jui Tseng, Ruiwei Xiao, Christopher Bogart, Jaromír Savelka, Majd Sakr
2024	—	`conf`	Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. ITiCSE-WGR James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith, Sven Strickroth, Daniel Zingaro
2024	J	`jnl`	Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. CoRR James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro
2024	—	`conf`	Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming. ITiCSE (2) Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr
2024	—	`conf`	Designing Modular Auto-graded Programming Projects. ITiCSE (2) Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr
2024	—	`conf`	Desirable Characteristics for AI Teaching Assistants in Programming Education. ITiCSE (1) Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
2024	J	`jnl`	Desirable Characteristics for AI Teaching Assistants in Programming Education. CoRR Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly
2024	—	`conf`	Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class. EC-TEL (1) Huy Anh Nguyen, Christopher Bogart, Jaromír Savelka, Adam Zhang, Majd Sakr
2024	—	`conf`	How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) 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
2024	J	`jnl`	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 Jakub Harasta, Tereza Novotná, Jaromír Savelka
2024	C	`ed.`	Legal Knowledge and Information Systems - JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 JURIX Jaromír Savelka, Jakub Harasta, Tereza Novotná, Jakub Mísek
2024	C	`conf`	Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. ACE Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny
2024	C	`conf`	Robots in the Middle: Evaluating LLMs in Dispute Resolution. JURIX Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Savelka, Sébastien Meeùs, Mia Godet, Karim Benyekhlef
2024	J	`jnl`	Robots in the Middle: Evaluating LLMs in Dispute Resolution. CoRR Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Savelka, Sébastien Meeùs, Mia Godet, Karim Benyekhlef
2024	—	`conf`	Understanding the Role of Temperature in Diverse Question Generation by GPT-4. SIGCSE (2) Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
2024	J	`jnl`	Understanding the Role of Temperature in Diverse Question Generation by GPT-4. CoRR Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
2024	C	`conf`	Using LLMs to Discover Legal Factors. JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2024	J	`jnl`	Using LLMs to Discover Legal Factors. CoRR Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2024	—	`conf`	What Factors Influence Persistence in Project-based Programming Courses at Community Colleges? SIGCSE (1) Christopher Bogart, Marshall An, Eric Keylor, Pawanjeet Singh, Jaromír Savelka, Majd Sakr
2023	J	`jnl`	A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR 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
2023	C	`conf`	Automatic Identification and Empirical Analysis of Legally Relevant Factors. ICAIL Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2023	—	`conf`	Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models. ASAIL@ICAIL Hannes Westermann, Sébastien Meeùs, Mia Godet, Aurore Clément Troussel, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
2023	C	`conf`	Can GPT Alleviate the Burden of Annotation? JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2023	—	`conf`	Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? ASAIL@ICAIL Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	J	`jnl`	Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? CoRR Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	—	`conf`	Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? ITiCSE (1) Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
2023	J	`jnl`	Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
2023	—	`conf`	CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. Koli Calling Mark H. Liffiton, Brad E. Sheese, Jaromír Savelka, Paul Denny
2023	J	`jnl`	CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. CoRR Mark H. Liffiton, Brad Sheese, Jaromír Savelka, Paul Denny
2023	J	`jnl`	Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models. CoRR Jaromír Savelka, Paul Denny, Mark H. Liffiton, Brad Sheese
2023	J	`jnl`	Explaining Legal Concepts with Augmented Large Language Models (GPT-4). CoRR Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	J	`jnl`	From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. CoRR Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
2023	C	`conf`	From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems. JURIX Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
2023	J	`jnl`	From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems. CoRR Samyar Janatian, Hannes Westermann, Jinzhe Tan, Jaromír Savelka, Karim Benyekhlef
2023	—	`conf`	Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
2023	J	`jnl`	Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. CoRR Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
2023	—	`conf`	LLMediator: GPT-4 Assisted Online Dispute Resolution. AI4AJ@ICAIL Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
2023	J	`jnl`	LLMediator: GPT-4 Assisted Online Dispute Resolution. CoRR Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
2023	—	`conf`	Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
2023	J	`jnl`	Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
2023	J	`jnl`	Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. CoRR Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny
2023	—	`conf`	The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR 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
2023	J	`jnl`	The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR 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
2023	J	`jnl`	The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers Artif. Intell. Jaromír Savelka, Kevin D. Ashley
2023	—	`conf`	Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. ICER (1) Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
2023	J	`jnl`	Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. CoRR Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
2023	—	`conf`	Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) 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
2023	C	`conf`	Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts. ICAIL Jaromír Savelka
2023	J	`jnl`	Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts. CoRR Jaromír Savelka
2023	C	`conf`	Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies. JURIX Jakub Drápal, Hannes Westermann, Jaromír Savelka
2023	J	`jnl`	Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies. CoRR Jakub Drápal, Hannes Westermann, Jaromír Savelka
2022	J	`jnl`	Data-Centric Machine Learning in the Legal Domain. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2022	J	`jnl`	Legal information retrieval for understanding statutory terms. Artif. Intell. Law Jaromír Savelka, Kevin D. Ashley
2022	C	`conf`	Toward Automatically Identifying Legally Relevant Factors. JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2022	C	`conf`	Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2022	J	`jnl`	Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	C	`conf`	Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. JURIX Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2021	—	`conf`	Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses? ITiCSE (1) Mingxiao An, Hongyi Zhang, Jaromír Savelka, Shijie Zhu, Chris Bogart, Majd Sakr
2021	J	`jnl`	Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	J	`jnl`	Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. CoRR Jaromír Savelka, Hannes Westermann, Karim Benyekhlef
2021	C	`conf`	Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	—	`conf`	Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. EMNLP (Findings) Jaromír Savelka, Kevin D. Ashley
2021	J	`jnl`	Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. CoRR Jaromír Savelka, Kevin D. Ashley
2021	J	`jnl`	Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. CoRR 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
2021	C	`conf`	Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. ICAIL 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
2021	J	`jnl`	Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	C	`conf`	Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. ICAIL Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2020	J	`jnl`	Citation Data of Czech Apex Courts. CoRR Jakub Harasta, Tereza Novotná, Jaromír Savelka
2020	—	`conf`	Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. ASAIL@JURIX Jaromír Savelka, Hannes Westermann, Karim Benyekhlef
2020	—	`conf`	ECHR: Legal Corpus for Argument Mining. ArgMining Prakash Poudyal, Jaromír Savelka, Aagje Ieven, Marie-Francine Moens, Teresa Gonçalves, Paulo Quaresma
2020	—	`conf`	Learning to Rank Sentences for Explaining Statutory Terms. ASAIL@JURIX Jaromír Savelka, Kevin D. Ashley
2020	—	`conf`	Paragraph Similarity Scoring and Fine-Tuned BERT for Legal Information Retrieval and Entailment. JSAI-isAI Workshops Hannes Westermann, Jaromír Savelka, Karim Benyekhlef
2020	C	`conf`	Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2020	C	`conf`	Using Argument Mining for Legal Text Summarization. JURIX Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2019	C	`conf`	Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2019	C	`conf`	Improving Sentence Retrieval from Case Law for Statutory Interpretation. ICAIL Jaromír Savelka, Huihui Xu, Kevin D. Ashley
2018	—	`conf`	Annotated Corpus of Czech Case Law for Reference Recognition Tasks. TSD 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
2018	C	`conf`	Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. JURIX Jaromír Savelka, Kevin D. Ashley
2017	C	`conf`	Detecting Agent Mentions in U.S. Court Decisions. JURIX Jaromír Savelka, Kevin D. Ashley
2017	C	`conf`	Toward Linking Heterogenous References in Czech Court Decisions to Content. JURIX Jakub Harasta, Jaromír Savelka
2016	—	`conf`	Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. ArgMining@ACL Jaromír Savelka, Kevin D. Ashley
2015	C	`conf`	Applying an Interactive Machine Learning Approach to Statutory Analysis. JURIX Jaromír Savelka, Gaurav Trivedi, Kevin D. Ashley
2015	—	`ch.`	Open Texture in Law, Legal Certainty and Logical Analysis of Natural Language. Logic in the Theory and Practice of Lawmaking Jaromír Savelka, Jakub Harasta
2015	C	`conf`	Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. ICAIL Jaromír Savelka, Kevin D. Ashley
2014	C	`conf`	Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley
2013	—	`ch.`	Coherence as Constraint Satisfaction: Judicial Reasoning Support Mechanism. Coherence: Insights from Philosophy, Jurisprudence and Artificial Intelligence Jaromír Savelka
2013	—	`book`	Coherence: Insights from Philosophy, Jurisprudence and Artificial Intelligence Michal Araszkiewicz, Jaromír Savelka
2012	C	`conf`	Refined Coherence as Constraint Satisfaction Framework for Representing Judicial Reasoning. JURIX Michal Araszkiewicz, Jaromír Savelka
2011	—	`conf`	Creative Commons and Grand Challenge to Make Legal Language Simple. AICOL Matej Myska, Terezie Smejkalová, Jaromír Savelka, Martin Skop
2011	C	`conf`	Two Methods for Representing Judicial Reasoning in the Framework of Coherence as Constraint Satisfaction. JURIX Michal Araszkiewicz, Jaromír Savelka