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Found 2 papers, 2 papers with code
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld
While large language models (LLMs) excel in a simulated world of texts, they struggle to interact with the more realistic world without perceptions of other modalities such as visual or audio signals.
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
Feature invariance under different data transformations, i. e., transformation invariance, can be regarded as a type of self-supervision for representation learning.
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