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arXiv Machine Learning By Yang Shi, Songwen Pei, Yang Gao, Bingxue Zhang

AME: A Multi-Type Contributor Attribution Framework in Generative AI Markets

Read the original on arXiv Machine Learning →

arXiv:2606. 16075v1 Announce Type: new Abstract: Generative AI enables value creation through multi-stage collaboration among heterogeneous contributors, including training data, base models, fine-tuning behaviors, and prompts.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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