mlsanityData to 7 Oct 2026

AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models

arXiv 2410.07561 ↗First posted 10 Oct 2024cs.CLcited by 3

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

Abstract (arXiv)

The rise of various social platforms has transformed journalism. The growing demand for news content has led to the increased use of large language models (LLMs) in news production due to their speed and cost-effectiveness. However, LLMs still encounter limitations in professionalism and ethical judgment in news generation. Additionally, predicting public feedback is usually difficult before news is released. To tackle these challenges, we introduce AI-Press, an automated news drafting and polishing system based on multi-agent collaboration and Retrieval-Augmented Generation. We develop a feedback simulation system that generates public feedback considering demographic distributions. Through extensive quantitative and qualitative evaluations, our system shows significant improvements in news-generating capabilities and verifies the effectiveness of public feedback simulation.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 9 of its 29 references that are in the map. First posted on arXiv 10 Oct 2024.

Builds on

9 of 29 references.

References · 9

  1. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
  2. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  3. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
  4. 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecturecited by 119
  5. 2023DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Servicescited by 117
  6. 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulatorcited by 99
  7. 2024Identity-Driven Hierarchical Role-Playing Agentscited by 18
  8. 2024Envisioning the Applications and Implications of Generative AI for News Mediacited by 11
  9. 2024NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalismcited by 8

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
  2. 2025SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Userscited by 50
  3. 2024ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agentscited by 35

Similar, not cited

Close in wording, no citation either way

  1. 2025How can AI agents support journalists' work? An experiment with designing an LLM-driven intelligent reporting system
  2. 2024Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures
  3. 2025Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?
  4. 2025AgentEval: Generative Agents as Reliable Proxies for Human Evaluation of AI-Generated Content
  5. 2025Benchmarking Agentic Newswriting via Journalistic Workflows
  6. 2024Synthetic Social Media Influence Experimentation via an Agentic Reinforcement Learning Large Language Model Bot
  7. 2025ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
  8. 2024MARG: Multi-Agent Review Generation for Scientific Papers