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cs.CL2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
Guangwei Zhang, Qisheng Su, Jiateng Liu +4
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) but pose risks of inadvertently exposing copyrighted or proprietary data, especially when such da…
cs.AI2025
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation
Jianpeng Zhao, Chenyu Yuan, Weiming Luo +6
Questionnaire-based surveys are foundational to social science research and public policymaking, yet traditional survey methods remain costly, time-consuming, and often limited in…
cs.AI2025
Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work
Guangwei Zhang
The capabilities of Large Language Models (LLMs) have opened new frontiers for interacting with complex, domain-specific knowledge. However, prevailing methods like Retrieval-Augme…