Language Model Networks: Supervision-Efficient Learning through Dense Communication 事件

Language Model Networks: Supervision-Efficient Learning through Dense Communication arXiv:2505.12741v3 Announce Type: replace Abstract: Language models are increasingly used not only as standalone predictors but also as components in larger inference systems, from test-time scaling to multi-agent collaboration. We study language model networks, where pre-trained language models serve as reusable nodes and intelligence emerges from their topology, communication, and optimization. Existing system