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New corpus and framework outperform GPT-4o and LLaMA-3 on privacy policy summarization

Researchers have introduced APPSI-139, a new parallel corpus designed to improve the summarization and interpretation of English application privacy policies. This corpus contains 139 privacy policies, over 15,000 rewritten parallel corpora, and more than 36,000 annotation labels. They also developed TCSI-pp-V2, a hybrid framework that reportedly outperforms models like GPT-4o and LLaMA-3-70B in readability and reliability for this task. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Provides a specialized dataset and framework that may improve LLM performance on legal text interpretation.

RANK_REASON Academic paper introducing a new dataset and framework for privacy policy summarization.

Read on arXiv cs.CL →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · Pengyun Zhu, Qiheng Sun, Long Wen, Yanbo Wang, Yang Cao, Junxu Liu, Deyi Xiong, Jinfei Liu, Zhibo Wang, Kui Ren ·

    APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation

    arXiv:2604.27550v1 Announce Type: cross Abstract: Privacy policies are essential for users to understand how service providers handle their personal data. However, these documents are often long and complex, as well as filled with technobabble and legalese, causing users to unkno…

  2. arXiv cs.CL TIER_1 · Kui Ren ·

    APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation

    Privacy policies are essential for users to understand how service providers handle their personal data. However, these documents are often long and complex, as well as filled with technobabble and legalese, causing users to unknowingly accept terms that may even contradict the l…