19 citations · 20 across the 3 of their papers we have counts for
4 papers
Tracing Hallucinations in LLM Reasoning for UML Class Diagram Generation: An Empirical Taxonomy and Mitigation Study
Mojdeh Rahmanian, Foutse Khomh, Ashkan Sami +1
Large Language Models (LLMs) can generate UML class diagrams from natural language requirements, but hallucinations may compromise the correctness and completeness of the resulting…
Large Language Models for Software Engineering Diagrams: A Systematic Review of UML and ER modelling
Mojdeh Rahmanian, Ashkan Sami, Yanchao Yu
Large language models (LLMs) are increasingly applied to diagram-based software and data modelling. Among various modelling notations, UML and entity-relationship (ER) diagrams are…
Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model
Mojdeh Rahmanian, Seyed Mostafa Fakhrahmad, Seyedeh Zahra Mousavi
Objective: Clinical trials are essential for advancing pharmaceutical interventions, but they face a bottleneck in selecting eligible participants. Although leveraging electronic h…
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
Seyed Ali Reza Moezzi, Abdolrahman Ghaedi, Mojdeh Rahmanian +2
Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficu…