2 papers
cs.CL2025
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui +4
High-quality, large-scale instructions are crucial for aligning large language models (LLMs), however, there is a severe shortage of instruction in the field of natural language un…
cs.AI2024
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
Hongbin Ye, Honghao Gui, Aijia Zhang +2
This paper introduces CooperKGC, a novel framework challenging the conventional solitary approach of large language models (LLMs) in knowledge graph construction (KGC). CooperKGC e…