GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory. - David D. Baek; Ziming Liu; Max Tegmark (CoRR, 2024)

Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning. - David D. Baek; Yuxiao Li; Max Tegmark (CoRR, 2024)

The Geometry of Concepts: Sparse Autoencoder Feature Structure. - Yuxiao Li; Eric J. Michaud; David D. Baek; Joshua Engels; Xiaoqing Sun; Max Tegmark (CoRR, 2024)

Harmonic Loss Trains Interpretable AI Models. - David D. Baek; Ziming Liu; Riya Tyagi; Max Tegmark (CoRR, 2025)

Towards Understanding Distilled Reasoning Models: A Representational Approach. - David D. Baek; Max Tegmark (CoRR, 2025)

Scaling Laws For Scalable Oversight. - Joshua Engels; David D. Baek; Subhash Kantamneni; Max Tegmark (CoRR, 2025)