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Shuang-Wu Chen

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#natural language process... Preprint Sep 2026

LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration

This work proposes LatCom, a cross-agent latent compression framework for efficient multi-agent latent collaboration, which achieves an average 2.46x inference speed-up over LatentMAS and reduces output token usage by 70.3% while maintaining comparable average accuracy.

Shi-Nan Zhang, Tao Zhang, Qi-Hui Zhu et al. · 0 citations

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