arXiv cs.CL
· Papers
Patent Representation Learning via Self-supervision
arXiv:2511.10657v2 Announce Type: replace Abstract: We study self-supervised patent representation learning with contrastive objectives. A standard baseline constructs positives by encoding the same text twice under independent dropout masks, but applying this recipe to long, structured patent documents requires carefu