A Training-Free Socket for DNA in Frozen Language Models

The paper introduces a training‑free ‘socket’ that connects a DNA foundation model to a frozen large language model (LLM) using a single ridge‑regression plug. The plug maps Evo 2 DNA features to the LLM’s internal representation of a gene’s symbol, name, and description, replacing hidden states at placeholder positions without back‑propagation. Evaluated on the GeneHop benchmark, the socket consistently outperforms shuffled DNA across four hosts, achieving significant gains in accuracy and demonstrating robust gene‑identity transfer without additional training.

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• llms
• benchmarks