Research Explores Optimal Scheduling for AI-Powered QA Forums

Rohit Negi, Mustafa Yilmaz· June 19, 2026 View original

Summary

This paper models a future question-answering forum where knowledge workers, rather than volunteers, are scheduled to answer requests based on their expertise. It calculates system capacity and designs schedulers to achieve optimal performance, also investigating how collaboration can increase capacity.

Question-Answering (QA) forums currently rely heavily on volunteer contributions. This research envisions a future model where these forums employ paid knowledge workers, who are experts in specific topics, to answer user requests. The paper treats this system as a queuing network, where requests in various topics are assigned to experts based on their respective expertise levels. The study focuses on calculating the maximum capacity of such a system, ensuring it remains stable while handling incoming requests. It then proceeds to design optimal schedulers capable of achieving this calculated capacity. Furthermore, the research explores the potential benefits of collaboration among experts in answering requests, demonstrating how such collaboration could further enhance the system's overall capacity.

Why it matters

This research provides a framework for designing more efficient and scalable knowledge-sharing platforms, particularly relevant for professional services, internal knowledge bases, and AI-driven expert systems.

How to implement this in your domain

  1. 1Analyze current knowledge-sharing systems to identify bottlenecks in request-answer processes.
  2. 2Develop algorithms for optimally matching incoming questions to available experts based on their skills and workload.
  3. 3Implement scheduling mechanisms that consider expert availability, expertise levels, and response time targets.
  4. 4Explore features that facilitate collaboration among knowledge workers to improve answer quality and system capacity.

Who benefits

Professional ServicesCustomer SupportIT ServicesEducationAI Engineering

Key takeaways

  • Future QA forums could employ paid knowledge workers with topic expertise.
  • The research models optimal scheduling to maximize system capacity and stability.
  • Schedulers are designed to efficiently assign requests to experts.
  • Collaboration among experts can significantly increase system capacity.

Original post by Rohit Negi, Mustafa Yilmaz

"arXiv:2606.19759v1 Announce Type: new Abstract: As individuals turn to the Internet to find answers to questions they may have, several Question Answering (QA) forums have evolved, where users knowledgeable in certain topics can contribute their expertise to answering these reque…"

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Originally posted by Rohit Negi, Mustafa Yilmaz on X · view source

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