GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

The Impact of Prompt Programming on Function-Level Code Generation

Abstract: Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the need for ...
GitHub

DeepCode: Open Agentic Coding

We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...
IEEE

Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...
Business Wire

CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code

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 ...