2 papers
cs.HC2026
A Survey of LLM Alignment: Instruction Understanding, Intention Reasoning, and Reliable Generation
Zongyu Chang, Feihong Lu, Ziqin Zhu +10
Large language models have demonstrated exceptional capabilities in understanding and generation. However, in real-world scenarios, users' natural language expressions are often in…
cs.CL2025
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment
Yangyifei Luo, Zhuo Chen, Lingbing Guo +4
Entity alignment (EA) aims to identify entities across different knowledge graphs that represent the same real-world objects. Recent embedding-based EA methods have achieved state-…