CoWeaver: A Bi-directional, Learnable and Explainable Matching Engine for Mixed Human-Agent Science Collaboration
3.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.15545.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryCoWeaver is a proposed algorithm for matching scientists and AI agents in mixed human-agent research networks. It uses bidirectional, learnable, and explainable matching with a two-stage ranking and UCB-based exploration. Experiments show it outperforms baselines on matching quality and efficiency across 20 tasks.
Why it mattersConcrete algorithmic pattern for routing work between humans and agents, with measurable performance gains. Useful framing for anyone designing human-agent team workflows.
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