activity
20232025
most citedTowards 3D Molecule-Text Interpretation in Language Models

8 citations · 21 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling

Yanchen Luo, Zhiyuan Liu, Yi Zhao +6

3D molecule generation is crucial for drug discovery and material science, requiring models to process complex multi-modalities, including atom types, chemical bonds, and 3D coordi…

q-bio.QM2025★ 2 cited

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation

Zhiyuan Liu, Yanchen Luo, Han Huang +7

3D molecule generation is crucial for drug discovery and material design. While prior efforts focus on 3D diffusion models for their benefits in modeling continuous 3D conformers,…

q-bio.QM2024★ 2 cited

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining

Zhiyuan Liu, Yaorui Shi, An Zhang +5

Molecule-text modeling, which aims to facilitate molecule-relevant tasks with a textual interface and textual knowledge, is an emerging research direction. Beyond single molecules,…

q-bio.QM2024★ 3 cited

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding

Zhiyuan Liu, An Zhang, Hao Fei +4

Language Models (LMs) excel in understanding textual descriptions of proteins, as evident in biomedical question-answering tasks. However, their capability falters with raw protein…

cs.LG2024★ 8 cited

Towards 3D Molecule-Text Interpretation in Language Models

Sihang Li, Zhiyuan Liu, Yanchen Luo +5

Language Models (LMs) have greatly influenced diverse domains. However, their inherent limitation in comprehending 3D molecular structures has considerably constrained their potent…

cs.LG2023★ 5 cited

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Zhiyuan Liu, Yaorui Shi, An Zhang +4

Masked graph modeling excels in the self-supervised representation learning of molecular graphs. Scrutinizing previous studies, we can reveal a common scheme consisting of three ke…

cs.CL2023★ 1 cited

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter

Zhiyuan Liu, Sihang Li, Yanchen Luo +5

Language Models (LMs) have demonstrated impressive molecule understanding ability on various 1D text-related tasks. However, they inherently lack 2D graph perception - a critical a…