APPSI-139 supplies a high-quality parallel corpus of privacy policies with expert summaries and labels, paired with TCSI-pp-V2, a hybrid framework that outperforms GPT-4o and LLaMA-3-70B on readability and reliability.
Information Systems Frontiers, 13:501–514
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PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
PrivSTRUCT extracts more than twice as many data-purpose pairs from privacy policies as prior tools by respecting document structure and finds developers overstate purposes 20.4% more often with global disclosures than local ones on 3,756 Android apps.
LoRA continued pretraining on a small U.S. transportation corpus lifts BLEU-4 and ROUGE for Qwen2.5-7B and LLaMA-3.1-8B far above the other four models tested.
citing papers explorer
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APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
APPSI-139 supplies a high-quality parallel corpus of privacy policies with expert summaries and labels, paired with TCSI-pp-V2, a hybrid framework that outperforms GPT-4o and LLaMA-3-70B on readability and reliability.
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PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
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PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
PrivSTRUCT extracts more than twice as many data-purpose pairs from privacy policies as prior tools by respecting document structure and finds developers overstate purposes 20.4% more often with global disclosures than local ones on 3,756 Android apps.
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Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline
LoRA continued pretraining on a small U.S. transportation corpus lifts BLEU-4 and ROUGE for Qwen2.5-7B and LLaMA-3.1-8B far above the other four models tested.