4 papers
GenomeHarness: Harnessing Al Agents for Reliable Adaptation of Genome Language Models
Weicai Long, Yusen Hou, Houcheng Su +2
Pretrained genome language models provide reusable representations for DNA sequence analysis, but turning them into reliable downstream predictors remains non-trivial. Their practi…
PhageBench: Can LLMs Understand Raw Bacteriophage Genomes?
Yusen Hou, Weicai Long, Haitao Hu +3
Bacteriophages, often referred to as the dark matter of the biosphere, play a critical role in regulating microbial ecosystems and in antibiotic alternatives. Thus, accurate interp…
GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding
Weicai Long, Yusen Hou, Junning Feng +4
Large Language Models (LLMs) are increasingly adopted as conversational assistants in genomics, where they are mainly used to reason over biological knowledge, annotations, and ana…
Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
Shuo Yang, Xinran Zheng, Xinchen Zhang +5
Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investi…