Papers by Yongqiang Ma

2 papers
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications (2024.findings-acl)

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Challenge: Existing evaluation metrics for large language models yield numerical scores that ignore user experience.
Approach: They propose a metric that suggests revision edits that mimic the human writing process . their results show that the metric offers more insightful feedback and distinguishes between texts .
Outcome: The proposed metric can provide a self-explained text evaluation result in a human-understandable manner beyond the context-independent score.
Retrieval-Augmented Generation with Hierarchical Knowledge (2025.findings-emnlp)

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Challenge: Existing RAG methods do not utilize hierarchical knowledge in human cognition, which limits the capabilities of RAG systems.
Approach: They propose a graph-based approach that utilizes hierarchical knowledge to enhance the semantic understanding and structure capturing capabilities of RAG systems.
Outcome: The proposed approach achieves significant performance improvements over the state-of-the-art methods.

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