most citedCellVerse: Do Large Language Models Really Understand Cell Biology?

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2025

AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks

Jianlong Chang, Haixin Wang, Zhiyuan Dang +11

The pursuit of artificial general intelligence continuously demands generalization in one model across myriad tasks, even those not seen before. However, current AI models are isol…

cs.LG2025

FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling

Haixin Wang, Jiashu Pan, Hao Wu +2

Modeling complex fluid systems, especially turbulence governed by partial differential equations (PDEs), remains a fundamental challenge in science and engineering. Recently, diffu…

q-bio.QM20251 cited

CellVerse: Do Large Language Models Really Understand Cell Biology?

Fan Zhang, Tianyu Liu, Zhihong Zhu +7

Recent studies have demonstrated the feasibility of modeling single-cell data as natural languages and the potential of leveraging powerful large language models (LLMs) for underst…

cs.LG2025

Advanced Long-term Earth System Forecasting

Hao Wu, Yuan Gao, Ruijian Gou +30

Reliable long-term forecasting of Earth system dynamics is fundamentally limited by instabilities in current artificial intelligence (AI) models during extended autoregressive simu…

cs.AI2025

Toward Super Agent System with Hybrid AI Routers

Yuhang Yao, Haixin Wang, Yibo Chen +5

AI Agents powered by Large Language Models are transforming the world through enormous applications. A super agent has the potential to fulfill diverse user needs, such as summariz…

cs.LG2025

Omni-Mol: Multitask Molecular Model for Any-to-any Modalities

Chengxin Hu, Hao Li, Yihe Yuan +3

In the molecular domain, numerous studies have explored the use of multimodal large language models (LLMs) to construct a general-purpose, multi-task molecular model. However, thes…