Papers by Zijie Zhong

2 papers
SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task (2025.coling-main)

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Challenge: Existing efforts to bolster LLMs’ proficiency in Cypher generation are hindered by the lack of annotated datasets of Query-Cypher pairs.
Approach: They propose a method for constructing a synthetic Query-Cypher pair dataset using LLM prompting and template-filling.
Outcome: The proposed method enhances the performance of LLMs on Text2Cypher task via SFT.
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation (2025.coling-main)

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Challenge: Retrieval-augmented generation systems often use a fixed strategy to extract information from multiple sources.
Approach: They propose a method that dynamically determines optimal granularity of a knowledge source based on input queries using a router.
Outcome: The proposed method predicts optimal granularity levels and significantly improves performance in downstream tasks.

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