DiRAFT: privacy-aware financial transcript synthesis from aggregate discourse priors
Read the original at arxiv.org→arXiv:2610.40938v1 Announce Type: new Abstract: Using customer conversations to train and evaluate financial language models raises confidentiality concerns because non-public financial facts can remain after direct...
Original headline: "DiRAFT: Privacy-Aware Financial Transcript Synthesis from Aggregate Discourse Priors"
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- Nov 2, 05:00 UTC arXiv cs.AI lead source DiRAFT: Privacy-Aware Financial Transcript Synthesis from Aggregate Discourse Priors