Papers by Longbing Cao
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 . |
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation (2021.emnlp-main)
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| Challenge: | Existing methods to improve multi-head self-attention are lacking in many languages. |
| Approach: | They propose a redundant head enlivening method to identify redundant heads and vitalize their potential by learning syntactic relations and prior knowledge in the text. |
| Outcome: | The proposed method can identify and vitalize redundant heads without sacrificing the roles of important heads. |
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. |