Jaromír Savelka

Orcid: 0000-0002-3674-5456

According to our database1, Jaromír Savelka authored at least 65 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Using LLMs to Discover Legal Factors.
CoRR, 2024

Robots in the Middle: Evaluating LLMs in Dispute Resolution.
CoRR, 2024

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

Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education.
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

What Factors Influence Persistence in Project-based Programming Courses at Community Colleges?
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Understanding the Role of Temperature in Diverse Question Generation by GPT-4.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

How Instructors Incorporate Generative AI into Teaching Computing.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Designing Modular Auto-graded Programming Projects.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Desirable Characteristics for AI Teaching Assistants in Programming Education.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Examining the Trade-Offs Between Simplified and Realistic Coding Environments in an Introductory Python Programming Class.
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant.
Proceedings of the 26th Australasian Computing Education Conference, 2024

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education.
Proceedings of the 26th Australasian Computing Education Conference, 2024

2023
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts.
Frontiers Artif. Intell., February, 2023

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

Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models.
CoRR, 2023

Explaining Legal Concepts with Augmented Large Language Models (GPT-4).
CoRR, 2023

CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes.
Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems.
Proceedings of the Legal Knowledge and Information Systems, 2023

Can GPT Alleviate the Burden of Annotation?
Proceedings of the Legal Knowledge and Information Systems, 2023

Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies.
Proceedings of the Legal Knowledge and Information Systems, 2023

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education.
Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

LLMediator: GPT-4 Assisted Online Dispute Resolution.
Proceedings of the ICAIL 2023 Workshop on Artificial Intelligence for Access to Justice co-located with 19th International Conference on AI and Law (ICAIL 2023), 2023

Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models.
Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Automatic Identification and Empirical Analysis of Legally Relevant Factors.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code.
Proceedings of the 15th International Conference on Computer Supported Education, 2023

Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives.
Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022
Data-Centric Machine Learning in the Legal Domain.
CoRR, 2022

Legal information retrieval for understanding statutory terms.
Artif. Intell. Law, 2022

Toward an Intelligent Tutoring System for Argument Mining in Legal Texts.
Proceedings of the Legal Knowledge and Information Systems, 2022

Toward Automatically Identifying Legally Relevant Factors.
Proceedings of the Legal Knowledge and Information Systems, 2022

2021
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains.
CoRR, 2021

Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences.
Proceedings of the Legal Knowledge and Information Systems, 2021

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis.
Proceedings of the Legal Knowledge and Information Systems, 2021

Are Working Habits Different Between Well-Performing and at-Risk Students in Online Project-Based Courses?
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Toward summarizing case decisions via extracting argument issues, reasons, and conclusions.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Citation Data of Czech Apex Courts.
CoRR, 2020

Using Argument Mining for Legal Text Summarization.
Proceedings of the Legal Knowledge and Information Systems, 2020

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents.
Proceedings of the Legal Knowledge and Information Systems, 2020

Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data.
Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems, 2020

Learning to Rank Sentences for Explaining Statutory Terms.
Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems, 2020

Paragraph Similarity Scoring and Fine-Tuned BERT for Legal Information Retrieval and Entailment.
Proceedings of the New Frontiers in Artificial Intelligence, 2020

2019
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain.
Proceedings of the Legal Knowledge and Information Systems, 2019

Improving Sentence Retrieval from Case Law for Statutory Interpretation.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

2018
Annotated Corpus of Czech Case Law for Reference Recognition Tasks.
Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018

Segmenting U.S. Court Decisions into Functional and Issue Specific Parts.
Proceedings of the Legal Knowledge and Information Systems, 2018

2017
Detecting Agent Mentions in U.S. Court Decisions.
Proceedings of the Legal Knowledge and Information Systems, 2017

Toward Linking Heterogenous References in Czech Court Decisions to Content.
Proceedings of the Legal Knowledge and Information Systems, 2017

2016
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms.
Proceedings of the Third Workshop on Argument Mining, 2016

2015
Applying an Interactive Machine Learning Approach to Statutory Analysis.
Proceedings of the Legal Knowledge and Information Systems, 2015

Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Open Texture in Law, Legal Certainty and Logical Analysis of Natural Language.
Proceedings of the Logic in the Theory and Practice of Lawmaking, 2015

2014
Mining Information from Statutory Texts in Multi-Jurisdictional Settings.
Proceedings of the Legal Knowledge and Information Systems, 2014

2013
Coherence as Constraint Satisfaction: Judicial Reasoning Support Mechanism.
Proceedings of the Coherence: Insights from Philosophy, 2013

2012
Refined Coherence as Constraint Satisfaction Framework for Representing Judicial Reasoning.
Proceedings of the Legal Knowledge and Information Systems, 2012

2011
Two Methods for Representing Judicial Reasoning in the Framework of Coherence as Constraint Satisfaction.
Proceedings of the Legal Knowledge and Information Systems, 2011

Creative Commons and Grand Challenge to Make Legal Language Simple.
Proceedings of the AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents, 2011


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