Jean-Philippe Corbeil

According to our database1, Jean-Philippe Corbeil authored at least 17 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents.
CoRR, May, 2026

VERT: Reliable LLM Judges for Radiology Report Evaluation.
CoRR, April, 2026

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation.
CoRR, April, 2026

Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging.
CoRR, February, 2026

MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations.
CoRR, October, 2025

Medical Red Teaming Protocol of Language Models: On the Importance of User Perspectives in Healthcare Settings.
CoRR, July, 2025

Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications.
CoRR, July, 2025

Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task on the Shoulders of Medical Agents.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

2022
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers.
CoRR, 2022

2021
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020
BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification Context.
CoRR, 2020

Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context.
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Probabilistic Approaches to Detect Blocking States in Intelligent Tutoring System.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020


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