Paper argues full LLM transparency does not guarantee trust or security
Users still cannot verify that open weights match open data and pipelines, and openness can raise attack success.
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Users still cannot verify that open weights match open data and pipelines, and openness can raise attack success.
Study of 12 LLM agents finds systematic source preference bias that overrides requirement satisfaction; hiding or relabeling source info changes selection rates.
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