CollabSim is a new CSCW-grounded simulation framework that enables controlled multi-agent experiments to measure collaborative competence in LLM agents.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems , articleno =
2 Pith papers cite this work. Polarity classification is still indexing.
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Develops and tests a temporal MCDM framework for B2B customer segmentation using extended RFM dimensions, adaptive AHP, multivariate time-series clustering, and graph-based consensus on a real manufacturing dataset of over 3000 customers.
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CollabSim: A CSCW-Grounded Methodology for Investigating Collaborative Competence of LLM Agents through Controlled Multi-Agent Experiments
CollabSim is a new CSCW-grounded simulation framework that enables controlled multi-agent experiments to measure collaborative competence in LLM agents.
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An Analytical Multiple Criteria Framework for Temporal and Dynamic Business-to-Business Customer Segmentation in Manufacturing
Develops and tests a temporal MCDM framework for B2B customer segmentation using extended RFM dimensions, adaptive AHP, multivariate time-series clustering, and graph-based consensus on a real manufacturing dataset of over 3000 customers.