Weinan Zhang

Models with similar success rates can have drastically different capability profiles, revealing hidden strengths and weaknesses in mobile manipulation tasks.

Skill organization can dramatically enhance agent performance, with a 4.1% increase in successful outcomes when using Progressive Disclosure over traditional methods.

DiffCold shatters the seesaw dilemma in item recommendation, enabling accurate cold-start predictions without sacrificing the performance of warm items.

AHA-WAM achieves a remarkable 92.80% success rate on RoboTwin while executing actions at 24.17 Hz, all without the need for prior robot-data training.

LatentSkill achieves a 21.4-point increase in task success while slashing prefill token usage by over 64%, revolutionizing how LLM agents utilize skills.