Скачать или смотреть LLM Agents Inside Collaborative Editors

In this AI Research Roundup episode, Alex discusses the paper:
'Collaborative Document Editing with Multiple Users and AI Agents(2509.11826v1)'
This work explores embedding configurable LLM-powered agents directly into shared rich‑text editors to support multi-user writing. The authors note that most writing assistants are built for single users, pushing teams out of their collaborative workspace to query models. They prototype in-editor agents with profile “CVs” and roles to contribute edits, suggestions, and generation alongside humans in real time. The study highlights design choices for coordination, transparency, and control when humans and agents co-author within the same document.
Paper URL: https://arxiv.org/pdf/2509.11826

#AI #MachineLearning #DeepLearning #LLMAgents #CollaborativeEditing #HCI #CSCW