Chengyi Xing

The model family shows gains in held-out scientific-code repair and across selected general-purpose benchmarks in code, reasoning, and knowledge, providing evidence of positive transfer from scientific experience to broader capabilities.

Robots can now learn to manipulate dynamic environments effectively from just one static demonstration, drastically improving performance and efficiency.