activity
20202026
most citedThe Robots are Here: Navigating the Generative AI Revolution in Computing Education

369 citations · 1.2k across the 41 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CY2024★ 2 cited

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools

James Prather, Juho Leinonen, Natalie Kiesler +12

Generative AI (GenAI) is advancing rapidly, and the literature in computing education is expanding almost as quickly. Initial responses to GenAI tools were mixed between panic and…

cs.CL2024★ 1 cited

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice

Hannes Westermann, Jaromir Savelka

Interacting with the legal system and the government requires the assembly and analysis of various pieces of information that can be spread across different (paper) documents, such…

cs.CL2024★ 1 cited

Using LLMs to Discover Legal Factors

Morgan Gray, Jaromir Savelka, Wesley Oliver +1

Factors are a foundational component of legal analysis and computational models of legal reasoning. These factor-based representations enable lawyers, judges, and AI and Law resear…

cs.HC2024★ 1 cited

Robots in the Middle: Evaluating LLMs in Dispute Resolution

Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari +4

Mediation is a dispute resolution method featuring a neutral third-party (mediator) who intervenes to help the individuals resolve their dispute. In this paper, we investigate to w…

cs.HC2024★ 2 cited

It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human

Jakub Harasta, Tereza Novotná, Jaromir Savelka

Large Language Models (LLMs) enable a future in which certain types of legal documents may be generated automatically. This has a great potential to streamline legal processes, low…

cs.CY2024★ 89 cited

Desirable Characteristics for AI Teaching Assistants in Programming Education

Paul Denny, Stephen MacNeil, Jaromir Savelka +2

Providing timely and personalized feedback to large numbers of students is a long-standing challenge in programming courses. Relying on human teaching assistants (TAs) has been ext…

cs.CL2024★ 13 cited

Understanding the Role of Temperature in Diverse Question Generation by GPT-4

Arav Agarwal, Karthik Mittal, Aidan Doyle +5

We conduct a preliminary study of the effect of GPT's temperature parameter on the diversity of GPT4-generated questions. We find that using higher temperature values leads to sign…