Papers by Yi-Jie Cheng

1 papers
The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering (2025.acl-srw)

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Challenge: Existing methods to integrate knowledge graphs into large language models often rely on proprietary or extremely large models .
Approach: They propose to integrate knowledge graphs into reasoning processes of large language models . they propose to use simple and efficient exploration modules to handle knowledge graph traversal .
Outcome: The proposed modules improve the performance of small language models on knowledge graph question answering tasks.

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