Unverified50% confidenceFactExact time
OmniGround is a general omni-modal model trained on TACG and the 580K dataset, with stronger temporal grounding capability.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
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Related Claims
UnverifiedThe OmniGround team built a 580K-sample training dataset by reconstructing temporal question answering from dense audio-visual annotations and organizing general omni-modal instruction data.72% similarUnverifiedMainstream training frameworks such as Megatron-LM and DeepSpeed generate detailed checkpoints and data-loading records during distributed training.66% similarUnverifiedMegatron-LM引入序列并行策略，针对LayerNorm、Dropout等算子将序列维度切分至多GPU处理，提升超长上下文训练场景下的显存利用率65% similarUnverified智谱GLM-5.3基于743B（7430亿参数）基座进行后训练，主打编程与智能体两大核心场景65% similarUnverifiedOmniVerifier-C1 adopts a decoupled reinforcement learning training strategy, splitting the optimization objective into two parts: sub-question-level binary judgment and global alignment scoring.64% similar
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