AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
Threat actors are abusing Pastebin comments to distribute a new ClickFix-style attack that tricks cryptocurrency users into ...
Clase allegedly used language calling batters chickens and roosters in coded messages with co-conspirators discussing the ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Abstract: Applications of Large Language Models (LLM) for source code analysis and related tasks arising during the development of an industrial static analyzer are becoming increasingly relevant due ...
In this study, we introduce MedS-Bench, a comprehensive benchmark designed to evaluate the performance of large language models (LLMs) in clinical contexts. Unlike traditional benchmarks that focus ...
CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results