Abstract: As Large Language Models (LLMs) evolve in understanding and generating code, accurately evaluating their reliability in analyzing source code vulnerabilities becomes in-creasingly vital.

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...

My little theory is that the concept of “imprinting” in psychology can just as easily be applied to programming: Much as a baby goose decides that the first moving life-form it encounters is its ...

TIOBE Index for December 2025: Top 10 Most Popular Programming Languages Your email has been sent December’s TIOBE Index lands with a quieter top tier but a livelier shuffle just beneath it. The main ...

Nobody has shown more vividly how all this overreliance on statistics in LLMs plays out than the AI safety researcher Owain ...

The application of data science in agriculture enables the analysis of diverse datasets using methods such as machine learning, deep learning, computer vision, text mining (Drury and Roche, 2019), and ...

Abstract: Few-shot action recognition (FSAR) aims to classify human actions in videos with only a small number of labeled samples per category. The scarcity of training data has driven recent efforts ...

Cache-to-Cache (C2C) enables Large Language Models to communicate directly through their KV-Caches, bypassing text generation. By projecting and fusing KV-Caches between models, C2C achieves 8.5–10.5% ...