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C. Camassa

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BankGPT: the use of large language models in official communications 1

No overall preference is indicated between human and machine-generated summaries; however, experts with greater familiarity with the Bulletin and higher educational attainment showed a marked preference for the official summaries.

Claudia Biancotti, C. Camassa, Marco Fruzzetti et al. · 0 citations

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs

It is suggested that instruction-following remains brittle under induction pressure even for otherwise capable models, and that output diversity, rather than semantic engagement with the input, is the primary factor predicting robustness.

C. Camassa, Derek Shiller · 0 citations

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