Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning.
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CoRR, 2024
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.
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CoRR, 2024
Can Large Language Models Understand Symbolic Graphics Programs?
CoRR, 2024
People use fast, goal-directed simulation to reason about novel games.
CoRR, 2024
Modulating Language Model Experiences through Frictions.
CoRR, 2024
Representational Alignment Supports Effective Machine Teaching.
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CoRR, 2024
Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction.
CoRR, 2024
Large Language Models Must Be Taught to Know What They Don't Know.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Rich Human Feedback for Text-to-Image Generation.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
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Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
AI for Mathematics: A Cognitive Science Perspective.
CoRR, 2023
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.
CoRR, 2023
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time.
CoRR, 2023
Evaluating Language Models for Mathematics through Interactions.
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CoRR, 2023
Learning Personalized Decision Support Policies.
CoRR, 2023
On the informativeness of supervision signals.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GeValDi: Generative Validation of Discriminative Models.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Robotics for the Streets: Open-Source Robotics for Academics.
Proceedings of the IEEE Frontiers in Education Conference, 2023
Harms from Increasingly Agentic Algorithmic Systems.
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Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
Human Uncertainty in Concept-Based AI Systems.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Web-based Elicitation of Human Perception on mixup Data.
CoRR, 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Eliciting and Learning with Soft Labels from Every Annotator.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Learning Signal-Agnostic Manifolds of Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Perceiving unseen objects.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020