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cs.CL2025
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim +3
Achieving both high safety and high usefulness simultaneously in large language models has become a critical challenge in recent years.Models often exhibit unsafe behavior or adopt…
cs.CL2025
Cancer Type, Stage and Prognosis Assessment from Pathology Reports using LLMs
Rachit Saluja, Jacob Rosenthal, Yoav Artzi +3
Large Language Models (LLMs) have shown significant promise across various natural language processing tasks. However, their application in the field of pathology, particularly for…