2 papers
cs.CV2026
Rethinking Genomic Modeling Through Optical Character Recognition
Hongxin Xiang, Pengsen Ma, Yunkang Cao +4
Recent genomic foundation models largely adopt large language model architectures that treat DNA as a one-dimensional token sequence. However, exhaustive sequential reading is stru…
cs.CL2025
EFPC: Towards Efficient and Flexible Prompt Compression
Yun-Hao Cao, Yangsong Wang, Shuzheng Hao +4
The emergence of large language models (LLMs) like GPT-4 has revolutionized natural language processing (NLP), enabling diverse, complex tasks. However, extensive token counts lead…