Abstract: Code generation has gained increasing attention as a task to automate software development by transforming high-level descriptions into executable code. While large language models (LLMs) ...

SAN FRANCISCO--(BUSINESS WIRE)--CodeRabbit, the leading AI-powered code review platform, today released the “State of AI vs Human Code Generation”, a comprehensive new report analyzing the quality of ...

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...

How one era changed everything about the culture — and why we’re so nostalgic for its creations. Gen X How one era changed everything about the culture — and why we’re so nostalgic for its creations.

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 ...

This is an implementation of a completion engine that parses type safe programs incrementally, guaranteeing that intermediate outputs can be completed to type-safe programs. The completion enginge can ...

A new technical paper titled “CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage” was published by researchers at University of Central Florida. “Large Language Models ...

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.

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School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China Automated programming has become a powerful tool for solving real-world problems. Code generation, in ...

Meta FAIR released Code World Model (CWM), a 32-billion-parameter dense decoder-only LLM that injects world modeling into code generation by training on execution traces and long-horizon ...