Theodore R. Sumers

According to our database, Theodore R. Sumers authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning with Language-Guided State Abstractions.

Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah

CoRR, 2024

How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?

Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths

CoRR, 2024

Preference-Conditioned Language-Guided Abstraction.

Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Deep de Finetti: Recovering Topic Distributions from Large Language Models.

Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, 2023

Cognitive Architectures for Language Agents.

Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths

CoRR, 2023

Distilling Internet-Scale Vision-Language Models into Embodied Agents.

Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta

Proceedings of the International Conference on Machine Learning, 2023

Words are all you need? Language as an approximation for human similarity judgments.

Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

How to talk so your robot will learn: Instructions, descriptions, and pragmatics.

Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

CoRR, 2022

Words are all you need? Capturing human sensory similarity with textual descriptors.

Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

CoRR, 2022

Linguistic communication as (inverse) reward design.

Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

CoRR, 2022

Predicting Human Similarity Judgments Using Large Language Models.

Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths

CoRR, 2022

How to talk so AI will learn: Instructions, descriptions, and autonomy.

Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths, Dylan Hadfield-Menell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Extending rational models of communication from beliefs to actions.

Theodore R. Sumers, Robert X. D. Hawkins, Mark K. Ho, Thomas L. Griffiths

CoRR, 2021

Learning Rewards From Linguistic Feedback.

Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation.

Theodore R. Sumers, Mark K. Ho, Tom Griffiths

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020