A methodological framework and browser system BITE for collecting evolving user preferences on LLM outputs through context-triggered reflections and privacy-preserving data over time.
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2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Readers see AI disclosure in writing as more necessary than writers, particularly for irreplaceable and direct AI contributions, with intentionality showing opposite effects on each group and effort showing none.
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Stayin' Aligned Over Time: Towards Longitudinal Human-LLM Alignment via Contextual Reflection and Privacy-Preserving Behavioral Data
A methodological framework and browser system BITE for collecting evolving user preferences on LLM outputs through context-triggered reflections and privacy-preserving data over time.
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What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?
Readers see AI disclosure in writing as more necessary than writers, particularly for irreplaceable and direct AI contributions, with intentionality showing opposite effects on each group and effort showing none.