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Found 3 papers, 1 papers with code
On the Importance of Uncertainty in Decision-Making with Large Language Models
We compare this baseline to LLM bandits that make active use of uncertainty estimation by integrating the uncertainty in a Thompson Sampling policy.
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
A crucial aspect of this user interface is that to measure the relevance a new carousel for the user it is not sufficient to account solely for its individual quality.
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels
Hence, we propose an offline evaluation protocol for a carousel setting in which the recommendation quality of a model is measured by how much it improves upon that of an already available set of carousels.
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