5 citations · 9 across the 5 of their papers we have counts for
5 papers
Role-SynthCLIP: A Role Play Driven Diverse Synthetic Data Approach
Yuanxiang Huangfu, Chaochao Wang, Weilei Wang
The effectiveness of Contrastive Language-Image Pre-training (CLIP) models critically depends on the semantic diversity and quality of their training data. However, while existing…
Towards Automated Quality Assurance of Patent Specifications: A Multi-Dimensional LLM Framework
Yuqian Chai, Chaochao Wang, Weilei Wang
Although AI drafting tools have gained prominence in patent writing, the systematic evaluation of AI-generated patent content quality represents a significant research gap. To addr…
Streamlining Biomedical Research with Specialized LLMs
Linqing Chen, Weilei Wang, Yubin Xia +30
In this paper, we propose a novel system that integrates state-of-the-art, domain-specific large language models with advanced information retrieval techniques to deliver comprehen…
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
Linqing Chen, Weilei Wang, Zilong Bai +33
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by minimizing the need for complex feature engineering. However, the application of LLMs in speci…
PatentGPT: A Large Language Model for Intellectual Property
Zilong Bai, Ruiji Zhang, Linqing Chen +24
In recent years, large language models(LLMs) have attracted significant attention due to their exceptional performance across a multitude of natural language process tasks, and hav…