3 papers
cs.CL2026
ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding
Zirui Wang, Yusen Hou, Shaofeng Liang +4
The explosive growth of large language models (LLMs) has created a heterogeneous and poorly documented ecosystem, making systematic model comparison increasingly important for prov…
cs.CL2026
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…
q-bio.GN2026
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…