Wook-Shin Han

Hi-Q outperforms traditional multi-hop QA methods by dynamically refining queries based on evidence support, achieving up to 15.1 EM points higher than the best iterative retrieval baseline.

Explicitly modeling the semantic objectives of robot actions can boost performance by over 20% in multimodal environments.