Introduces a French OSCE dialogue dataset of 240 interactions and a modular LLM-based controllable virtual patient generation system with multi-level LLM-as-Judge evaluation for clinical skills training.
Tailored conversations beyond LLMs: A RL-based dialogue manager
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
An agentic AI profiler on LLaMA v3.1 classifies responses into four expertise levels and matches self-assessments 83-97% of the time in static transcripts and live interviews.
citing papers explorer
-
A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training
Introduces a French OSCE dialogue dataset of 240 interactions and a modular LLM-based controllable virtual patient generation system with multi-level LLM-as-Judge evaluation for clinical skills training.
-
Dynamic Agentic AI Expert Profiler System Architecture for Multidomain Intelligence Modeling
An agentic AI profiler on LLaMA v3.1 classifies responses into four expertise levels and matches self-assessments 83-97% of the time in static transcripts and live interviews.