Large language models (LLMs) are having transformative impacts across a wide range of
scientific fields, particularly in the biomedical sciences. Just as the goal of natural language …

Multilingual transfer ability, which reflects how well models fine-tuned on one source
language can be applied to other languages, has been well studied in multilingual pre …

There are already many DNA large language models, but most of them still follow traditional
uses, such as extracting sequence features for classification tasks. More innovative …

Building a general-purpose task model similar to ChatGPT has been an important research
direction for gene large language models. Instruction fine-tuning is a key component in …

Genomic Language Models (GLMs), which learn from nucleotide sequences, have become
essential tools for understanding the principles of life and have demonstrated outstanding …

Since the completion of the human genome sequencing project in 2001, significant progress
has been made in areas such as gene regulation editing and protein structure prediction …