3 citations · 10 across the 16 of their papers we have counts for
4 papers · 1 filter
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
Kai Zhuang, Jiawei Zhang, Yumou Liu +10
Scientific Large Language Models (Sci-LLMs) have emerged as a promising frontier for accelerating biological discovery. However, these models face a fundamental challenge when proc…
DeepForm: Reasoning Large Language Model for Communication System Formulation
Panlong Wu, Ting Wang, Yifei Zhong +3
Communication system formulation is critical for advancing 6G and future wireless technologies, yet it remains a complex, expertise-intensive task. While Large Language Models (LLM…
Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences
Shiyu Jiang, Xuyin Liu, Zitong Jerry Wang
Genomic language models (gLMs) hold promise for generating novel, functional DNA sequences for synthetic biology. However, realizing this potential requires models to go beyond evo…
DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification
Guohao Huo, Zibo Lin, Zitong Wang +2
Ophthalmic diseases pose a significant global health burden. However, traditional diagnostic methods and existing monocular image-based deep learning approaches often overlook the…