---
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id: "9b4963f72ed4f821f48a73509e40eb3469f9a40feeb8340a36b394a65cd55a3b"
canonical_url: "https://aidr.today/9b4963f7?lang=en"
title: "On the Opportunities and Challenges of Prefill-to-Autoregressive Cross-Model Transfer"
lang: "en"
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available_langs: ["en","vi"]
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published_at: "2026-11-06T05:00:00.000Z"
category: "Open Source"
topics: ["llm","open-source"]
source_urls: ["https://arxiv.org/abs/2611.06976"]
summary: "Prefill-to-Autoregressive Cross-model Transfer (PACT) combines a larger model's prompt representations with a smaller model's efficient generation. PLatour is an open-source PACT framework that connects frozen models through lightweight, zero-initialized linear bridges. PLatour significantly outperforms open-source baselines on generation tasks and surpasses Mostik's reported results on shared mathematics and coding benchmarks using a substantially smaller sender."
---

# On the Opportunities and Challenges of Prefill\-to\-Autoregressive Cross\-Model Transfer

> [Open the canonical story](<https://aidr.today/9b4963f7?lang=en>)

**Published:** 2026-11-06T05:00:00.000Z
**Category:** Open Source
**Topics:** llm, open\-source

## Summary

Prefill\-to\-Autoregressive Cross\-model Transfer \(PACT\) combines a larger model's prompt representations with a smaller model's efficient generation\. PLatour is an open\-source PACT framework that connects frozen models through lightweight, zero\-initialized linear bridges\. PLatour significantly outperforms open\-source baselines on generation tasks and surpasses Mostik's reported results on shared mathematics and coding benchmarks using a substantially smaller sender\.

## Sources

- [Story source](<https://arxiv.org/abs/2611.06976>)