Through that experience, I got an up-close view of how software engineering teams work, how good products are launched, and ...
Abstract: Large language models (LLMs) have demonstrated good performance in general code generation; however, their capabilities in quantum code generation remain insufficiently studied. This paper ...
🔥 Core Discovery: Visual generation capability naturally arises from understanding! With just 200K samples + co-training, LLMs can be taught to generate visual embeddings without extensive ...
ProverGen is a novel framework that synergizes the generative strengths of Large Language Models (LLMs) with the rigor and precision of symbolic provers to create scalable, diverse, and high-quality ...
Abstract: This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual ...
AI coding agents are reshaping how developers write, debug, and maintain software in 2026. The debate around Claude Code vs ChatGPT Codex highlights two distinct philosophies: local-first reasoning ...
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