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Theodore R. Sumers
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Journal Articles
- 2024
- [j1]Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths:
Cognitive Architectures for Language Agents. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2024
- [c11]Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah:
Preference-Conditioned Language-Guided Abstraction. HRI 2024: 572-581 - [c10]Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah:
Learning with Language-Guided State Abstractions. ICLR 2024 - [c9]Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths:
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML 2024 - 2023
- [c8]Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby:
Words are all you need? Language as an approximation for human similarity judgments. ICLR 2023 - [c7]Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta:
Distilling Internet-Scale Vision-Language Models into Embodied Agents. ICML 2023: 32797-32818 - 2022
- [c6]Yosi Hatekar, Rachit Dubey, Theodore R. Sumers, Ilia Sucholutsky:
Playing the Lottery of a Lifetime: The Effect of Socially Induced Aspiration on Q-Learning Agents. CogSci 2022 - [c5]Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths:
Predicting Human Similarity Judgments Using Large Language Models. CogSci 2022 - [c4]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths, Dylan Hadfield-Menell:
How to talk so AI will learn: Instructions, descriptions, and autonomy. NeurIPS 2022 - 2021
- [c3]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards From Linguistic Feedback. AAAI 2021: 6002-6010 - [c2]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths:
Extending rational models of communication from beliefs to actions. CogSci 2021 - 2020
- [c1]Theodore R. Sumers, Mark K. Ho, Tom Griffiths:
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. CogSci 2020
Informal and Other Publications
- 2024
- [i15]Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah:
Preference-Conditioned Language-Guided Abstraction. CoRR abs/2402.03081 (2024) - [i14]Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths:
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? CoRR abs/2402.07282 (2024) - [i13]Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah:
Learning with Language-Guided State Abstractions. CoRR abs/2402.18759 (2024) - [i12]Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths:
Representational Alignment Supports Effective Machine Teaching. CoRR abs/2406.04302 (2024) - [i11]C. Nicolò De Sabbata, Theodore R. Sumers, Thomas L. Griffiths:
Rational Metareasoning for Large Language Models. CoRR abs/2410.05563 (2024) - 2023
- [i10]Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta:
Distilling Internet-Scale Vision-Language Models into Embodied Agents. CoRR abs/2301.12507 (2023) - [i9]Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths:
Cognitive Architectures for Language Agents. CoRR abs/2309.02427 (2023) - [i8]Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths:
Deep de Finetti: Recovering Topic Distributions from Large Language Models. CoRR abs/2312.14226 (2023) - 2022
- [i7]Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths:
Predicting Human Similarity Judgments Using Large Language Models. CoRR abs/2202.04728 (2022) - [i6]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell:
Linguistic communication as (inverse) reward design. CoRR abs/2204.05091 (2022) - [i5]Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby:
Words are all you need? Capturing human sensory similarity with textual descriptors. CoRR abs/2206.04105 (2022) - [i4]Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell:
How to talk so your robot will learn: Instructions, descriptions, and pragmatics. CoRR abs/2206.07870 (2022) - 2021
- [i3]Theodore R. Sumers, Robert X. D. Hawkins, Mark K. Ho, Thomas L. Griffiths:
Extending rational models of communication from beliefs to actions. CoRR abs/2105.11950 (2021) - 2020
- [i2]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards from Linguistic Feedback. CoRR abs/2009.14715 (2020) - [i1]Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths:
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. CoRR abs/2012.09035 (2020)
Coauthor Index
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