May 13, 2024, 4:41 a.m. | Meng Song, Xuezhi Wang, Tanay Biradar, Yao Qin, Manmohan Chandraker

cs.LG updates on

arXiv:2405.06063v1 Announce Type: new
Abstract: Transformer-based methods have exhibited significant generalization ability when prompted with target-domain demonstrations or example solutions during inference. Although demonstrations, as a way of task specification, can capture rich information that may be hard to specify by language, it remains unclear what information is extracted from the demonstrations to help generalization. Moreover, assuming access to demonstrations of an unseen task is impractical or unreasonable in many real-world scenarios, especially in robotics applications. These questions motivate us …

abstract arxiv cs.lg domain example inference information language policy prompt solutions transformer type zero-shot

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