Tao Wang

Recovery routing can outperform escalation strategies by leveraging execution feedback, achieving a higher solve rate at only 35% of the typical recovery cost.

Users can now intuitively grasp a robot's inferred goals through its motion, reducing control effort and enhancing collaboration.

AgentX can autonomously iterate on recommendation algorithms, outpacing human-driven processes and fundamentally changing how we approach system development.

Unified vision-language perception in MLLMs is not just an evolution; it’s a critical leap toward achieving artificial general intelligence.

V-Zero achieves fine-grained visual reasoning without any annotated answer labels, outperforming traditional methods in both speed and accuracy.

Spatial reasoning can be transformed from isolated frame predictions to dynamic scene understanding, significantly boosting performance in multi-view and video tasks.

Flux-Guard achieves a breakthrough by enabling effective face editing that simultaneously thwarts face recognition systems without compromising image quality.

Removing gold answer strings from rewritten contexts can cause F1 scores to plummet by up to 64 points, underscoring their critical role in retrieval-augmented QA performance.