4 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding
Yongmin Yoo, Zhangkai Wu, Longbing Cao
Autoregressive decoders emit flat token sequences and cannot enforce hierarchical constraints across output segments, a limitation that becomes acute in patent claim generation, wh…
Adaptive Cost-Efficient Evaluation for Reliable Patent Claim Generation
Yongmin Yoo, Qiongkai Xu, Longbing Cao
Automated patent claim validation demands low error tolerance. However, existing approaches face a rigidity-resource dilemma: lightweight encoders cannot track long-range legal dep…
Self-Filtered Distillation with LLMs-generated Trust Indicators for Reliable Patent Classification
Yongmin Yoo, Xu Zhang, Longbing Cao
Organizing large-scale patent corpora according to classification schemes is a core information management task that determines the accuracy and efficiency of prior art retrieval,…
PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
Yongmin Yoo, Qiongkai Xu, Longbing Cao
High-stakes texts such as patent claims, medical records, and technical reports are structurally complex and demand a high degree of reliability and precision. While large language…