activity
20242026
most citedDeViDe: Faceted medical knowledge for improved medical vision-language pre-training

4 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Closing the Cross-Dialect Gap: Query Plans as a Portable Interface in Text-to-SQL

Corentin Royer, Robin Oester, Yotam Perlitz +3

Text-to-SQL systems are typically trained and evaluated on a single dialect (SQLite), yet production deployments span PostgreSQL, MySQL, ClickHouse, and beyond. We show that this s…

cs.CL2026

PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism

Yotam Perlitz, Elad Venezian, Corentin Royer +2

SQL dialects vary in syntax, types, and functions across database engines. Text-to-SQL benchmarks, however, predominantly support only SQLite. This creates a critical evaluation ga…

cs.CL2026

RAWR: Reward Assignment Without Rollouts in Verifiable Domains

Corentin Royer, Debarun Bhattacharjya, Anna Hedström +3

Understanding and evaluating multi-step reasoning in LLMs at the level of individual steps remains a key challenge. Process reward models (PRMs) provide a solution by scoring each…

cs.CV2025

RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology

Chengrun Li, Corentin Royer, Haozhe Luo +6

Most current medical vision language models struggle to jointly generate diagnostic text and pixel-level segmentation masks in response to complex visual questions. This represents…

cs.CV2024★ 4 cited

DeViDe: Faceted medical knowledge for improved medical vision-language pre-training

Haozhe Luo, Ziyu Zhou, Corentin Royer +2

Vision-language pre-training for chest X-rays has made significant strides, primarily by utilizing paired radiographs and radiology reports. However, existing approaches often face…

cs.CV2024★ 4 cited

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

Corentin Royer, Bjoern Menze, Anjany Sekuboyina

We introduce MultiMedEval, an open-source toolkit for fair and reproducible evaluation of large, medical vision-language models (VLM). MultiMedEval comprehensively assesses the mod…