Author

Zhengfu He

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Book Open access Aug 2026

Interpretability in the Era of Large Language Models: Mechanistic Methodology, Empirical Practices, and Applications

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

Book Open access Aug 2026

Interpretability in the Era of Large Language Models: Mechanistic Methodology, Empirical Practices, and Applications

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