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07/28/2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Even though machine learning (ML) pipelines affect an increasing array o...
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06/25/2023
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Human beings are social creatures. We routinely reason about other agent...
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06/14/2023
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time
Concept-based models perform prediction using a set of concepts that are...
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06/02/2023
Evaluating Language Models for Mathematics through Interactions
The standard methodology of evaluating large language models (LLMs) base...
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04/13/2023
Learning Personalized Decision Support Policies
Individual human decision-makers may benefit from different forms of sup...
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03/22/2023
Human Uncertainty in Concept-Based AI Systems
Placing a human in the loop may abate the risks of deploying AI systems ...
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11/02/2022
Web-based Elicitation of Human Perception on mixup Data
Synthetic data is proliferating on the web and powering many advances in...
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07/02/2022
Eliciting and Learning with Soft Labels from Every Annotator
The labels used to train machine learning (ML) models are of paramount i...
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05/11/2022
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
Human language offers a powerful window into our thoughts – we tell stor...
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11/11/2021