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On the Opportunities and Challenges of Prefill-to-Autoregressive Cross-Model Transfer
Zhenyi Zhang, Author 2, Author 3, Author 4, Author 5
cross-model transferlanguage modelsparameter-efficient adaptation
2611.06976
Builder Relevance
3h ago80%
Abstract
The paper introduces PACT, a framework that enhances collaboration between large and small language models, balancing capability and inference cost.
Reality Card
Core Claim
PLatour significantly outperforms open-source baselines on generation tasks while using a substantially smaller sender model.
Method / Result
PLatour surpasses Mostik's reported results on shared mathematics and coding benchmarks.
Limitations
Controlled experiments indicate that performance gains may arise from uninformative sender signals or receiver-only training.
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