3 papers
cs.IR2026
Sparse Coverage: Semantic Center Representations for Patent Prior-Art Retrieval
You Zuo, Kim Gerdes, Éric de la Clergerie +1
Patent prior-art retrieval is a recall-oriented search task over long and highly structured technical documents. Dense retrieval improves semantic matching, but single-vector repre…
cs.CL2026
Patent Representation Learning via Self-supervision
You Zuo, Kim Gerdes, Eric Villemonte de La Clergerie +1
We study self-supervised patent representation learning with contrastive objectives. A standard baseline constructs positives by encoding the same text twice under independent drop…
cs.IR2026
Citation-Driven Multi-View Training for Patent Embeddings: QaECTER and Sophia-Bench
Younes Djemmal, You Zuo, Kim Gerdes +1
Patent retrieval underpins critical decisions in innovation, examination, and IP strategy, yet progress has been hampered by the absence of benchmarks that reflect the diversity of…