Yoav Goldberg

Characterizing the role of reasoning tokens in large language models as state over tokens

Predictive Closure: A Set-Level Characterization of JEPA's Feature Selection

The predictive closure characterization is proposed, which accounts for the relationships between features and shows that unpredictable features can become better represented when they help predict other features, and that changing one feature's predictive relationships can affect how well others are represented.

You Know What I Mean: A Benchmark for Agentic Conversational Reference Grounding

The results show that CoRG remains challenging for current agents, even the best agent reaches only 67.0% success rate, leaving one third of references unresolved, and position CoRG as a concrete benchmark for studying how agents search, inspect, and verify information in realistic multi-tool environments.