activity
20242026
most citedChemLLM: A Chemical Large Language Model

46 citations · 46 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

Chen Tang, Yizhou Wang, Jianyu Wu +26

Structure-property relationships are foundational to biology, chemistry and materials science, where function, reactivity and physical response emerge from spatial, chemical and pe…

cs.CV2025

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation

Jianyu Wu, Yizhou Wang, Xiangyu Yue +5

While accurate and user-friendly Computer-Aided Design (CAD) is crucial for industrial design and manufacturing, existing methods still struggle to achieve this due to their over-s…

cs.CV2025

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

Chen Tang, Xinzhu Ma, Encheng Su +6

Traditional spatiotemporal models generally rely on task-specific architectures, which limit their generalizability and scalability across diverse tasks due to domain-specific desi…

cs.LG2024

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics

Dongyu Luo, Jianyu Wu, Jing Wang +3

We showcase the plain diffusion models with Transformers are effective predictors of fluid dynamics under various working conditions, e.g., Darcy flow and high Reynolds number. Unl…

cs.CV2024

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Le Zhuo, Ruoyi Du, Han Xiao +19

Lumina-T2X is a nascent family of Flow-based Large Diffusion Transformers that establishes a unified framework for transforming noise into various modalities, such as images and vi…

cs.LG2024

EMR-Merging: Tuning-Free High-Performance Model Merging

Chenyu Huang, Peng Ye, Tao Chen +3

The success of pretrain-finetune paradigm brings about the release of numerous model weights. In this case, merging models finetuned on different tasks to enable a single model wit…

cs.AI2024★ 46 cited

ChemLLM: A Chemical Large Language Model

Di Zhang, Wei Liu, Qian Tan +12

Large language models (LLMs) have made impressive progress in chemistry applications. However, the community lacks an LLM specifically designed for chemistry. The main challenges a…