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Gaoling School of Artificial Intelligence, Renmin University of China
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Search-oriented rubrics redefine how we evaluate document sets, leading to a 2.6-point performance boost in deep research tasks.
Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
Achieve more reliable and visually informative multimodal reports by enforcing factual grounding, citation fidelity, and cross-modal consistency throughout the workflow with a multi-agent system.
Forget finetuning video models for each robot: a single, action-free video world model can drive diverse robots when paired with a carefully designed inverse dynamics model.
Forget random sampling – this framework crafts targeted, multi-turn function-calling data that catapults smaller LLMs to state-of-the-art performance.
