LLMs Outrank Human and Competing AI Resumes

A recent study published on arXiv shows large language models (LLMs) consistently select their own resume outputs over human-written and rival AI-generated versions. The 2025 research team tested multiple models inclu…

The results raise questions about LLM evaluation mechanisms. While the study doesn't specify whether this preference stems from internal consistency or output bias, the authors note that even when human-written resume…

The PyTorch framework's adoption among researchers stems from its dynamic computation graph model, as explained by Soumith Chintala in a 2017 O'Reilly interview. Unlike TensorFlow's static graph approach, PyTorch's ta…