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Found 7 papers, 0 papers with code
Evaluating Nuanced Bias in Large Language Model Free Response Answers
Prior methods of benchmarking bias use techniques such as word masking and multiple choice questions to assess bias at scale, but these do not capture all of the nuanced types of bias that can occur in free response answers, the types of answers typically generated by LLM systems.
Privacy Aware Experiments without Cookies
We propose a two-stage experimental design, where the two brands only need to agree on high-level aggregate parameters of the experiment to test the alternate experiences.
Efficient Deployment of Conversational Natural Language Interfaces over Databases
Many users communicate with chatbots and AI assistants in order to help them with various tasks.
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Semi-automated bias detection tools often present reports of automatically-detected biases using a recommendation list or visual cues.
An RNN-Survival Model to Decide Email Send Times
We posit that emails are likely to be opened sooner when send times are convenient for recipients, while for other send times, emails can get ignored.
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Machine learning models often make predictions that bias against certain subgroups of input data.
Modeling Time to Open of Emails with a Latent State for User Engagement Level
In this paper we use a survival analysis framework to predict the time to open an email once it has been received.
