IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
NHS England

Appendix F: Call for evidence summary

This appendix forms part of the Medical Training Review: Phase 1 Diagnostic Report. A call for evidence was open to the public for 6 weeks, from 8 April to 20 May 2025, hosted on the Citizen Space ...
IEEE

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation

Abstract: Large language models (LLMs) have achieved impressive performance in code generation recently, offering programmers revolutionary assistance in software development. However, due to the auto ...
Frontiers

Children and young people’s experiences of receiving group metacognitive therapy: Thematic analysis of a transdiagnostic treatment for common mental health problems

1 Division of Psychology and Mental Health, School of Psychological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom 2 Research and ...
GitHub

The best way to get Coding Agents to solve hard problems in complex codebases

CodeLayer is an open source IDE that lets you orchestrate AI coding agents. It comes with battle-tested workflows that enable AI to solve hard problems in large, complex codebases. Built on Claude ...