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Sunayana Rane
Sunayana Rane
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Getting aligned on representational alignment
I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ...
arXiv preprint arXiv:2310.13018, 2023
812023
Docci: Descriptions of connected and contrasting images
Y Onoe, S Rane, Z Berger, Y Bitton, J Cho, R Garg, A Ku, Z Parekh, ...
European Conference on Computer Vision, 291-309, 2025
342025
Concept alignment
S Rane, PJ Bruna, I Sucholutsky, C Kello, TL Griffiths
arXiv preprint arXiv:2401.08672, 2024
122024
Concept alignment as a prerequisite for value alignment
S Rane, M Ho, I Sucholutsky, TL Griffiths
arXiv preprint arXiv:2310.20059, 2023
82023
Getting aligned on representational alignment, November 2023
I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ...
URL http://arxiv. org/abs/2310.13018, 0
7
Predicting word learning in children from the performance of computer vision systems
S Rane, ML Nencheva, Z Wang, C Lew-Williams, O Russakovsky, ...
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
62023
Learning with curricula for sparse-reward tasks in deep reinforcement learning
S Rane
Massachusetts Institute of Technology, 2020
52020
Can Generative Multimodal Models Count to Ten?
S Rane, A Ku, J Baldridge, I Tenney, T Griffiths, B Kim
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
42024
Understanding the limits of vision language models through the lens of the binding problem
D Campbell, S Rane, T Giallanza, N De Sabbata, K Ghods, A Joshi, A Ku, ...
arXiv preprint arXiv:2411.00238, 2024
12024
The Reasonable Person Standard for AI
S Rane
arXiv preprint arXiv:2406.04671, 2024
2024
Principles of Animal Cognition for LLM Evaluations: A Case Study on Transitive Inference
S Rane, C Kirkman, A Royka, G Todd, R Law, JG Foster, E Cartmill
NeurIPS 2024 Workshop on Behavioral Machine Learning, 0
Investigating Same-Different Concept Understanding in Generative Multimodal Models
S Rane, DI Campbell, TL Griffiths
NeurIPS 2024 Workshop on Behavioral Machine Learning, 0
Position: The Reasonable Person Standard for AI
S Rane
Forty-first International Conference on Machine Learning, 0
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Artikler 1–13