Shmuel Amar, Benjamin Lieber, Ori Shapira, Debanjana Kar, Sebastian Maximilian Dennerlein, Yufang Hou, Ido Dagan · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31277 · open-access PDF
虽然法学硕士已经改变了文本生成,标准的聊天和面板界面通常会将人文撰写减少到相当被动的监督,导致审查疲劳,过度依赖人工智能,并将人文角色排除在长形式,源为基础的写作中。先前的系统通常处理孤立的写作阶段,使全面的终端人文LLM协作在很大程度上未被探索。
Machine translation (Meta M2M100); the English original follows.
While LLMs have transformed text generation, standard chat-and-canvas interfaces often reduce human authoring to quite passive supervision, causing review fatigue, over-reliance on AI, and the sidelining of the human role in long-form, source-grounded writing. Prior systems typically address isolated writing phases, leaving comprehensive end-to-end human-LLM collaboration largely unexplored. In this paper, we introduce CoWriter, a proactive agentic scheme that adapts expert human (co-)authoring methodologies from cognitive science to flexibly steer the entire writing workflow while actively en
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