AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 10 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper introduces RSI-Dojo, a collection of executable model training environments designed to teach LLM agents to conduct post-training, and develops RSI-Craft, an automatic pipeline that converts human research artifacts into executable model training environments.
SWE-Pruner Pro is proposed, which prunes tool outputs directly inside the agent, with a small head turns the agent's own internal representations into a keep-or-prune label for each line, with a length-aware embedding keyed to each tool output's line count.
SWE-Bench ProMax is introduced, an expert-curated, multilingual code refactoring benchmark of 170 instances drawn from real commits across seven programming languages, which presents a meaningful and unsaturated challenge for current AI coding agents.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.