Learning whom to trust about the unseen: source credibility and reliability transfer in language models
Read the original at arxiv.org→arXiv:2611.08855v1 Announce Type: new Abstract: A source who has been right before deserves attention, but about what? We ask how far a demonstrated record of reliability travels in language models when the new...
Original headline: "Learning Whom to Trust About the Unseen: Source Credibility and Reliability Transfer in Language Models"
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- Nov 9, 05:00 UTC arXiv cs.AI lead source Learning Whom to Trust About the Unseen: Source Credibility and Reliability Transfer in Language Models