Papers by Hongli Ma

1 papers
Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision (2026.acl-long)

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Challenge: Existing methods for integrating textual graphs with LLMs are limited by symbolic inference and high annotation costs.
Approach: They propose a textual graph reasoning framework that integrates textual diagrams with large language models.
Outcome: The proposed approach achieves 15.6% accuracy and 17.2% in F1 score on three common datasets.

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