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AI models and online forums can collaborate for sustainable knowledge sharing

A new research paper explores the complex relationship between large language models (LLMs) and online Q&A forums. The study proposes a framework for collaboration, where LLMs can pose questions to forums, which then publish selected queries. This approach aims to address the paradox of LLMs drawing users away from forums while simultaneously relying on forum data for improvement. Simulations using Stack Exchange data and common LLMs indicate that while incentive misalignment exists, a sustainable collaboration preserving knowledge sharing is achievable. AI

IMPACT Proposes a framework for sustainable collaboration between LLMs and online knowledge platforms, potentially improving data quality for AI training.

RANK_REASON Academic paper proposing a new framework for LLM-forum interaction.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models and online forums can collaborate for sustainable knowledge sharing

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Academic paper proposing a new framework for LLM-forum interaction.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Niv Fono, Yftah Ziser, Omer Ben-Porat ·

    From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums

    arXiv:2602.04572v2 Announce Type: replace Abstract: While Generative AI (GenAI) systems draw users away from (Q&amp;A) forums, they also depend on the very data those forums produce to improve their performance. Addressing this paradox, we propose a framework of sequential intera…