most citedSyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task

5 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024★ 5 cited

SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task

Ziije Zhong, Linqing Zhong, Zhaoze Sun +3

Integrating Large Language Models (LLMs) with existing Knowledge Graph (KG) databases presents a promising avenue for enhancing LLMs' efficacy and mitigating their "hallucinations"…

cs.LG2024★ 3 cited

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Zijie Zhong, Hanwen Liu, Xiaoya Cui +2

Integrating information from various reference databases is a major challenge for Retrieval-Augmented Generation (RAG) systems because each knowledge source adopts a unique data st…

cs.AI2024

CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation

Zijie Zhong, Yunhui Zhang, Ziyi Chang +1

Node Importance Estimation (NIE) is crucial for integrating external information into Large Language Models through Retriever-Augmented Generation. Traditional methods, focusing on…