
Explore groundbreaking research from top universities challenging AI evaluation methods, revealing limitations in language models' structural understanding and proposing new assessment frameworks.

Explore advanced techniques for analyzing AI systems, from behavior elicitation to neuron description, focusing on using AI tools to understand and improve AI model behaviors and representations.

Explore how to effectively transfer latent knowledge from weak to strong language models, focusing on alignment techniques and practical applications in LLM development.

Explore how enriched category theory provides a mathematical framework for analyzing language structure and semantics, with applications to large language models and linguistic expressions.