Author

Liang Wang

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Open access Jul 2026

Biological Continued Pretraining Reshapes the Capability Profile of a Foundation Model Without Catastrophic Forgetting

It is widely assumed that continued pretraining (CPT) on a narrow, out-of-distribution corpus such as raw biological sequence must trade away a general-purpose model’s broad competence — the “alignment tax” or catastrophic-forgetting intuition. We test this directly, without any new training, by re-analyzing three chec...

Liang Wang · bioRxiv · 0 citations

Open access Jul 2026

Asymmetric Structural Transfer Between Natural Language and Biological Foundation Models

It is established that shared structural regularities between natural language and biological sequences do not imply symmetric representational transfer, revealing an intrinsic directionality in cross-domain foundation-model learning.

Liang Wang · bioRxiv · 0 citations