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06/06/2023
Causal interventions expose implicit situation models for commonsense language understanding
Accounts of human language processing have long appealed to implicit “si...
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05/11/2023
Overinformative Question Answering by Humans and Machines
When faced with a polar question, speakers often provide overinformative...
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05/11/2023
Semantic uncertainty guides the extension of conventions to new referents
A long tradition of studies in psycholinguistics has examined the format...
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12/01/2022
Flexible social inference facilitates targeted social learning when rewards are not observable
Relying on others can be as risky as it can be rewarding. Advice seekers...
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11/29/2022
Abstract Visual Reasoning with Tangram Shapes
We introduce KiloGram, a resource for studying abstract visual reasoning...
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06/16/2022
How to talk so your robot will learn: Instructions, descriptions, and pragmatics
From the earliest years of our lives, humans use language to express our...
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05/23/2022
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
Strong inductive biases are a key component of human intelligence, allow...
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05/11/2022
Identifying concept libraries from language about object structure
Our understanding of the visual world goes beyond naming objects, encomp...
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04/11/2022
Linguistic communication as (inverse) reward design
Natural language is an intuitive and expressive way to communicate rewar...
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02/24/2022
Probing BERT's priors with serial reproduction chains
We can learn as much about language models from what they say as we lear...
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12/07/2021
A pragmatic account of the weak evidence effect
Language is not only used to inform. We often seek to persuade by arguin...
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06/30/2021
Learning to communicate about shared procedural abstractions
Many real-world tasks require agents to coordinate their behavior to ach...
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05/25/2021
Extending rational models of communication from beliefs to actions
Speakers communicate to influence their partner's beliefs and shape thei...
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05/13/2021
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
There is substantial variability in the expectations that communication ...
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04/12/2021
From partners to populations: A hierarchical Bayesian account of coordination and convention
Languages are powerful solutions to coordination problems: they provide ...
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10/05/2020
Investigating representations of verb bias in neural language models
Languages typically provide more than one grammatical construction to ex...
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09/30/2020
Learning Rewards from Linguistic Feedback
We explore unconstrained natural language feedback as a learning signal ...
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02/04/2020
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks
A key property of linguistic conventions is that they hold over an entir...
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12/16/2019
Characterizing the dynamics of learning in repeated reference games
The language we use over the course of conversation changes as we establ...
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11/22/2019
