The unprecedented expansion of global metropolises has modernized many people's lives, yet it has also engendered significant challenges, such as air pollution, increased energy consumption, and traffic congestion. Tackling these deeply intertwined challenges was nearly impossible years ago given the complex, dynamic,...
Sijie Ruan, Yu Zheng, Yuxuan Liang et al.· Proceedings of the 32nd ACM...· 0 citations
LucaCell, a sequence-centric foundation model that represents genes through pre-trained mRNA sequence embeddings rather than static gene annotations, is presented, showing that sequence-informed gene representation can improve the generalization of single-cell foundation models across species, data types, and predictiv...
Yan Sun, Yong He, Min-Si Ren et al.· bioRxiv· 0 citations
The rapid evolution of Large Language Models (LLMs) has brought unprecedented capabilities across reasoning, coding, and multimodal tasks. However, as performance scales, their opaque ''black-box'' nature raises a critical challenge: How can we trace the origins of emergent intelligence, and more importantly, how can w...
Wei Zhang, Zheng-Fu He, Lu-Lu Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
This tutorial provides a comprehensive, end-to-end view of LLM interpretability, transitioning from microscopic neural analysis to macroscopic application and deployment, and explores how these interpretability paradigms scale and inspire the design of frontier architectures, agentic systems, and thinking models.
Wei Zhang, Zhengfu He, Lucia Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
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