Papers by Yongmin Yoo

2 papers
PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims (2025.emnlp-main)

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Challenge: Existing natural language generation (NLG) metrics fail to capture domain-specific nuances . patent claims require precise assessment of structural elements such as antecedent consistency and claim dependency.
Approach: They propose a multi-dimensional evaluation framework specifically designed for patent claims . PatentScore integrates hierarchical decomposition of claim elements, validation patterns and scoring across structural, semantic, and legal dimensions.
Outcome: The proposed evaluation framework outperforms existing evaluation frameworks on patent claims . patentScore achieved highest correlation with expert annotations on 400 patent claims dataset .
PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation (2026.findings-acl)

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Challenge: Existing methods for patent similarity evaluation lack the multifaceted structure of patent documents . patent documents pose significant challenges due to specialized domain knowledge, intricate legal language, and complex structural formats.
Approach: They propose a framework that performs patent similarity evaluation through a Multi-Aspect Reasoning Graph.
Outcome: The proposed framework outperforms embedding-based, patent-specific, and prompt engineering benchmarks in evaluating patent similarity with expert annotations.

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