eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
GitHub

Masked Diffusion Models for Code Generation

MLX support on Apple Silicon is in progress. We will make necessary updates to the repository once it is available. However, the generation pattern and post-training strategies of dLLMs remain ...
IEEE

VulKiller: Java Web Vulnerability Detection with Code Property Graph and Large Language Models

Abstract: In recent years, web application development has become more efficient, yet vulnerabilities still pose significant risks. Traditional static and dynamic detection techniques are prone to ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
Frontiers

Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis

1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...