Search Results for author: Theodore R. Sumers

Found 11 papers, 3 papers with code

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

no code implementations11 Feb 2024 Ryan Liu, Theodore R. Sumers, Ishita Dasgupta, Thomas L. Griffiths

In day-to-day communication, people often approximate the truth - for example, rounding the time or omitting details - in order to be maximally helpful to the listener.


Deep de Finetti: Recovering Topic Distributions from Large Language Models

no code implementations21 Dec 2023 Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths

Large language models (LLMs) can produce long, coherent passages of text, suggesting that LLMs, although trained on next-word prediction, must represent the latent structure that characterizes a document.

Bayesian Inference

Cognitive Architectures for Language Agents

2 code implementations5 Sep 2023 Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths

Recent efforts have augmented large language models (LLMs) with external resources (e. g., the Internet) or internal control flows (e. g., prompt chaining) for tasks requiring grounding or reasoning, leading to a new class of language agents.

Decision Making

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

no code implementations8 Jun 2022 Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

Based on the results of this comprehensive study, we provide a concise guide for researchers interested in collecting or approximating human similarity data.

Contrastive Learning Information Retrieval +2

Linguistic communication as (inverse) reward design

no code implementations11 Apr 2022 Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

We then define a pragmatic listener which performs inverse reward design by jointly inferring the speaker's latent horizon and rewards.

Predicting Human Similarity Judgments Using Large Language Models

no code implementations9 Feb 2022 Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths

Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning.

Extending rational models of communication from beliefs to actions

1 code implementation25 May 2021 Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths

Speakers communicate to influence their partner's beliefs and shape their actions.

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

no code implementations16 Dec 2020 Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths

Nonetheless, a teacher and learner may not always experience or attend to the same aspects of the environment.

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