76 citations · 253 across the 8 of their papers we have counts for
10 papers
A Benchmark Framework for Screening Automation in Systematic Reviews
Gauransh Kumar, Luciano Marchezan, Guillaume Genois +2
Systematic reviews (SR) are essential for evidence-based research, but their screening phase is highly time-consuming and labor-intensive. Large language models (LLMs) offer a prom…
Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1
Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. D…
Reporting and Reviewing LLM-Integrated Systems in HCI: Challenges and Considerations
Karla Felix Navarro, Eugene Syriani, Ian Arawjo
What should HCI scholars consider when reporting and reviewing papers that involve LLM-integrated systems? We interview 18 authors of LLM-integrated system papers on their authorin…
Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews
Eugene Syriani, Istvan David, Gauransh Kumar
By organizing knowledge within a research field, Systematic Reviews (SR) provide valuable leads to steer research. Evidence suggests that SRs have become first-class artifacts in s…
Real-time Collaborative Multi-Level Modeling by Conflict-Free Replicated Data Types
Istvan David, Eugene Syriani
The need for real-time collaborative solutions in model-driven engineering has been increasing over the past years. Conflict-free replicated data types (CRDT) provide scalable and…
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models
Martin Weyssow, Houari Sahraoui, Eugene Syriani
The design of conceptually sound metamodels that embody proper semantics in relation to the application domain is particularly tedious in Model-Driven Engineering. As metamodels de…