mlsanityData to 14 Oct 2026

RevTogether: Supporting Science Story Revision with Multiple AI Agents

arXiv 2503.01608 ↗First posted 3 Mar 2025cs.HCcited by 1

On the map: LLM agents and tool use → Web, search, and research agents

Abstract (arXiv)

As a popular form of science communication, science stories attract readers because they combine engaging narratives with comprehensible scientific knowledge. However, crafting such stories requires substantial skill and effort, as writers must navigate complex scientific concepts and transform them into coherent and accessible narratives tailored to audiences with varying levels of scientific literacy. To address the challenge, we propose RevTogether, a multi-agent system (MAS) designed to support revision of science stories with human-like AI agents (using GPT-4o). RevTogether allows AI agents to simulate affects in addition to providing comments and writing suggestions, while offering varying degrees of user agency. Our preliminary user study with non-expert writers (N=3) highlighted the need for transparency in AI agents' decision-making processes to support learning and suggested that emotional interactions could enhance human-AI collaboration in science storytelling.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 11 of its 46 references that are in the map. First posted on arXiv 3 Mar 2025.

Builds on

11 of 46 references.

References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2021Sparks: Inspiration for Science Writing using Language Modelscited by 80
  3. 2022Understanding Iterative Revision from Human-Written Textcited by 57
  4. 2024Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Editscited by 49
  5. 2023Writer-Defined AI Personas for On-Demand Feedback Generationcited by 36
  6. 2023Beyond the Chat: Executable and Verifiable Text-Editing with LLMscited by 35
  7. 2024Designing for Human-Agent Alignment: Understanding what humans want from their agentscited by 18
  8. 2023Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Mediacited by 11
  9. 2023Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalismcited by 7
  10. 2023Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Sitecited by 2
  11. 2024JumpStarter: Human-AI Planning with Task-Structured Context Curationcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Hallucination or Creativity: How to Evaluate AI-Generated Scientific Stories?cited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
  2. 2026CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing
  3. 2026AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions
  4. 2026Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision
  5. 2025The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
  6. 2026Towards Automating Scientific Review with Google's Paper Assistant Tool
  7. 2024Agents' Room: Narrative Generation through Multi-step Collaboration
  8. 2026An Agentic Approach to Generating XAI-Narratives