Papers by Pengyun Wang

3 papers
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation (2026.acl-long)

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Challenge: a lack of high-quality English privacy policy corpus optimized for legal clarity and readability is limiting translation of privacy policies . 139 privacy policies are often considered "incomprehensible" due to technical jargon, legal language, and convoluted grammatical structures.
Approach: They propose a high-quality English privacy policy corpus annotated by domain experts . they propose APPSI-139 to summarize and interpret privacy policies in English .
Outcome: The proposed framework outperforms large language models in terms of readability and accuracy.
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering (2022.findings-emnlp)

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Challenge: Aspect category detection (ACD) aims to automatically identify user-concerned aspects from online reviews.
Approach: They propose a method that relies on the category name of each aspect and a pretrained language model to generate constraints for clustering.
Outcome: The proposed framework performs better than existing weakly supervised methods on nine benchmark datasets.
DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping (2026.acl-long)

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Challenge: Current Large Language Models (LLMs) rely on coarse-grained national labels for pluralistic value alignment.
Approach: They propose a framework for fine-grained pluralistic value alignment using demographic constraints.
Outcome: The proposed framework can identify groups with predictable, high-consensus value preference . it achieves 48.6% accuracy, surpassing open-source LLM DeepSeek-v3.2 .

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