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maxr0ssi/README.md

Max Rossi

MS Data Science & Research @ Columbia, with the Advanced Master's Research extension.

I study how language models communicate through hidden states, drawing on information theory.

  • CacheBack / RCLC — agent communication in latent space, guided by what the receiver needs. The receiver sends a small internal query to the sending agents, which use it to select what to send back. Paper · Code · Website & demos

  • Latent Cache Flow — model-to-model communication without text. Co-first-author paper at the ICML 2026 Adapt-FM workshop. Paper

Website · LinkedIn

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  1. agentcacheback/cacheback agentcacheback/cacheback Public

    CacheBack: receiver-conditioned latent communication between agents

    Python 6


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