8 citations · 9 across the 3 of their papers we have counts for
3 papers
q-bio.BM2026
AMix-2: Establishing Protein as a Native Modality in Large Language Models
Keyue Qiu, Yixin Wu, Lihao Wang +19
We present AMix-2, a protein-text foundation model that establishes protein as a native modality in large language models (LLMs), unifying protein understanding and sequence design…
cs.LG2023★ 1 cited
Learning Harmonic Molecular Representations on Riemannian Manifold
Yiqun Wang, Yuning Shen, Shi Chen +3
Molecular representation learning plays a crucial role in AI-assisted drug discovery research. Encoding 3D molecular structures through Euclidean neural networks has become the pre…
cs.CL2021★ 8 cited
Unsupervised Word Segmentation with Bi-directional Neural Language Model
Lihao Wang, Zongyi Li, Xiaoqing Zheng
We present an unsupervised word segmentation model, in which the learning objective is to maximize the generation probability of a sentence given its all possible segmentation. Suc…