AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 30 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 work presents PlaceReasoner-Beta, a verifier-guided multi-agent framework that reformulates macro placement as a closed-loop reasoning problem rather than black-box optimization, demonstrating that reasoning over spatial structure under physical-design feedback can improve end-to-end layout quality beyond proxy-ob...
CHORUS is presented, a post-training framework that pushes performance beyond what a conventional supervised fine-tuning (SFT)-to-reinforcement learning (RL) pipeline achieves, and consolidates the resulting specialists into a single 4B model.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.