In the 'Top Ten National Treasures' annual selection initiated by the State-owned Assets Supervision and Administration Commission of the State Council, China Telecom's self-developed Xingchen Model made the list thanks to its groundbreaking technological achievements. As the first full-size, full-modal, and domestically produced foundational model system in the country, the Xingchen Model demonstrates exceptional capabilities in semantics, speech, vision, and multimodal fields. In the semantic domain, the Xingchen Model has achieved significant breakthroughs. Leveraging a fully domestic 10,000-card cluster and training framework, this model reaches over 93% of the computational efficiency of NVIDIA's equivalent power, with a training duration ratio that is more efficient.

A research team from The Chinese University of Hong Kong and the Chinese Academy of Sciences has proposed a full modal pre-training paradigm called MiCo (Multimodal Context). This method has achieved significant results in the field of multimodal learning, setting new state-of-the-art (SOTA) records in 37 categories.