9 citations · 11 across the 9 of their papers we have counts for
9 papers
GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents
Johannes Moll, Jean-Philippe Corbeil, Jiazhen Pan +4
LLM agents acting in structured environments fail in operational rather than conversational ways, and reliability depends on procedural knowledge of the environment. Prior self-imp…
Towards Better Aligned LLM Judges for Radiology Report Evaluation across Modalities and Anatomies
Federica Bologna, Jean-Philippe Corbeil, Matthew Wilkens +1
Current work on radiology report evaluation has focused primarily on LLM-based metrics for chest X-rays (CXR), leaving open whether such approaches remain robust across other modal…
Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation
Ji Young Byun, Young-Jin Park, Jean-Philippe Corbeil +1
As vision-language models (VLMs) are increasingly deployed in clinical decision support, more than accuracy is required: knowing when to trust their predictions is equally critical…
Modular Expert Merging for Biomedical Retrieval
Sameh Khattab, Jean-Philippe Corbeil, Osman Alperen Çinar-Koraş +5
Adapting general-purpose LLMs into domain-specialized dense retrievers typically requires large-scale training on mixed-domain data. We show that merging independently trained doma…
Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations
Jean-Philippe Corbeil, Asma Ben Abacha, Jerome Tremblay +4
Clinical documentation increasingly uses automatic speech recognition and summarization, yet converting conversations into actionable medical orders for Electronic Health Records r…
MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings
Jean-Philippe Corbeil, Minseon Kim, Maxime Griot +4
As the performance of large language models (LLMs) continues to advance, their adoption in the medical domain is increasing. However, most existing risk evaluations largely focused…
Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications
Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos +12
Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinical natural language processing (NLP) tasks across multiple medical benchmarks. None…
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu +7
High computation costs and latency of large language models such as GPT-4 have limited their deployment in clinical settings. Small language models (SLMs) offer a cost-effective al…
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
Jean-Philippe Corbeil
In natural language processing applied to the clinical domain, utilizing large language models has emerged as a promising avenue for error detection and correction on clinical note…