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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation

    Researchers have introduced a new framework and dataset for evaluating meeting effectiveness, moving beyond single, coarse scores to a temporal, fine-grained analysis. The proposed method defines effectiveness as the rate of objective achievement over time, assessing individual topical segments within a meeting. This approach utilizes a Large Language Model as a judge to score segment effectiveness relative to overall meeting objectives, aiming to improve organizational productivity and provide a more dynamic understanding of collaborative discussions. AI

    IMPACT This framework could lead to more objective and actionable insights for improving team collaboration and productivity in professional settings.