Generative Interfaces for Language Models

ArXi:2508.19227v3 Announce Type: replace Large language models (LLMs) are increasingly seen as assistants, copilots, and consultants, capable of ing a wide range of tasks through natural conversation. However, most systems remain constrained by a linear request-response format that often makes interactions inefficient in multi-turn, information-dense, and exploratory tasks.