Prefill-to-Autoregressive Cross-model Transfer (PACT), a form of latent communication between language models, combines a larger model's prompt representations with a smaller model's efficient generat
Prefill-to-Autoregressive Cross-model Transfer (PACT), a form of latent communication between language models, combines a larger model's prompt representations with a smaller model's efficient generation, offering a promising way to balance capability and inference cost. However, existing systems provide limited support for independently evaluating large-small model collaboration, and improved task performance alone does not establish whether the receiver benefits from the sender's information. We introduce PLatour, an open-source PACT framework that connects frozen models through lightweight, zero-initialized linear bridges trained directly with task rewards and supports hybrid-attention…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
On the Opportunities and Challenges of Prefill-to-Autoregressive Cross-Model Transfer was first seen on Hugging Face · Daily papers on Nov 6, 2026. Since then it has appeared in 28 checks on 3 different days. Its best position was #16 of 30, reached on Nov 6, 21:28 UTC. It is #17 right now, holding steady at #17 over the last 6 checks.
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Yes. As of Nov 8, 17:28 UTC it is #17, holding steady at #17 over the last 6 checks.
#16 on Hugging Face · Daily papers, on Nov 6, 21:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 6, 2026 and has been on the list on 3 days (28 checks) since.