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Found 3 papers, 1 papers with code
Dissecting users' needs for search result explanations
There is a growing demand for transparency in search engines to understand how search results are curated and to enhance users' trust.
Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
To explore how humans can best leverage LLMs for writing and how interacting with these models affects feelings of ownership and trust in the writing process, we compared common human-AI interaction types (e. g., guiding system, selecting from system outputs, post-editing outputs) in the context of LLM-assisted news headline generation.
An Exploration of Post-Editing Effectiveness in Text Summarization
Automatic summarization methods are efficient but can suffer from low quality.
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