4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Lanning Wei, Jun Gao, Huan Zhao +1
Graph-structured data are the commonly used and have wide application scenarios in the real world. For these diverse applications, the vast variety of learning tasks, graph domains…
cs.CL2024★ 4 cited
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models
Jun Gao, Huan Zhao, Wei Wang +2
In this study, we present EventRL, a reinforcement learning approach developed to enhance event extraction for large language models (LLMs). EventRL utilizes outcome supervision wi…