2 papers
cs.CL2026
From Symbolic to Natural-Language Relations: Rethinking Knowledge Graph Construction in the Era of Large Language Models
Kanyao Han, Yushang Lai
Knowledge graphs (KGs) have commonly been constructed using predefined symbolic relation schemas, typically implemented as categorical relation labels. This design has notable shor…
cs.CL2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
Zhiwen You, Kanyao Han, Haotian Zhu +2
Prompt-based fine-tuning has become an essential method for eliciting information encoded in pre-trained language models for a variety of tasks, including text classification. For…