2 papers
cs.CL2026
Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain
Corentin Royer, Debarun Bhattacharjya, Gaetano Rossiello +2
Multi-step reasoning improves the capabilities of large language models (LLMs) but increases the risk of errors propagating through intermediate steps. Process reward models (PRMs)…
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…