New Study Analyzes Regret for Prompt, Parameter, and Joint Adaptation in Language Models
An arXiv paper examines how language-model systems that repeatedly select prompts and parameter adapters during deployment can use feedback to guide later choices, analyzing regret across text, parameter, and joint adaptation.
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- 2026-11-09 05:00 · arXiv stat.ML
Where Should Learning Live? Regret Analysis for Text, Parameter, and Joint Adaptation