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Learn Your Way: Reimagining Textbooks with Generative AI

Grounded in learning, built for the student Our approach is built on two key pillars that work together to augment the learning experience: (1) generating various multimodal representations of the content, and (2) taking foundational steps toward personalization. The seminal dual coding theory states that forging mental connections between different representations strengthens the underlying conceptual schema in our brain. Subsequent research indeed showed that when students actively engage wi

Contrastive Representations for Temporal Reasoning

In classical AI, perception relies on learning spatial representations, while planning—temporal reasoning over action sequences—is typically achieved through search. We study whether such reasoning can instead emerge from representations that capture both spatial and temporal structure. We show that standard temporal contrastive learning, despite its popularity, often fails to capture temporal structure, due to reliance on spurious features. To address this, we introduce Contrastive Representati