Concept大推理模型 / Large Reasoning Model
LRM
Large Reasoning Model is a paradigm developed on top of large language models that employs inductive reasoning methods. During inference, LRMs dynamically construct reasoning chains or natural-language programs, enabling test-time inductive capability and the ability to handle novel problems outside the training distribution.
Timeline (last 90 days)
Oct 14
Native 3D generative models (such as TRELLIS and the LRM series) regress 3D representations directly from images and possess shape priors, but the generated results are not strictly aligned with the input geometry and are prone to drift, scale distortion or objects appearing out of nowhere.
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