Papers by Ziying Ma

1 papers
Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate (2026.findings-acl)

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Challenge: Entity alignment (EA) aims to identify entities referring to the same real-world object across different knowledge graphs (KGs).
Approach: They propose a reliable EA framework based on multi-agent debate that improves embedding quality and introduces a two-stage multi-role debate mechanism to enhance reliability.
Outcome: The proposed framework improves embedding quality and the reasoning capability of LLMs while enabling more efficient debate-based reasoning.

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