标题为英语DiRAFT: Privacy-Aware Financial Transcript Synthesis from Aggregate Discourse Priors
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 identifiers are masked. Synthetic transcripts offer an…
AI 摘要：要点
- 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 identifiers are masked
- Synthetic transcripts offer an…
DiRAFT: Privacy-Aware Financial Transcript Synthesis from Aggregate Discourse Priors
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