2 papers
cs.LG2026
Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP
Hanlin Xiao, Rainer Breitling, Eriko Takano +1
Recent advances in general-purpose foundation models have stimulated the development of large biological sequence models. While natural language shows symbolic granularity (charact…
cs.AI2025
Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support
Guoxin Wang, Minyu Gao, Shuai Yang +9
Large language models (LLMs), particularly those with reasoning capabilities, have rapidly advanced in recent years, demonstrating significant potential across a wide range of appl…