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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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10/07/2022
Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Out-of-distribution generalization (OODG) is a longstanding challenge fo...
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10/06/2022
Learning to Reason With Relational Abstractions
Large language models have recently shown promising progress in mathemat...
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10/02/2022
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Transformer networks have seen great success in natural language process...
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07/14/2022
Language models show human-like content effects on reasoning
Abstract reasoning is a key ability for an intelligent system. Large lan...
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04/05/2022
Can language models learn from explanations in context?
Large language models can perform new tasks by adapting to a few in-cont...
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12/07/2021
Tell me why! – Explanations support learning of relational and causal structure
Explanations play a considerable role in human learning, especially in a...
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07/10/2021
What underlies rapid learning and systematic generalization in humans
Despite the groundbreaking successes of neural networks, contemporary mo...
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05/08/2020
Transforming task representations to allow deep learning models to perform novel tasks
An important aspect of intelligence is the ability to adapt to a novel t...
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12/12/2019
Extending Machine Language Models toward Human-Level Language Understanding
Language is central to human intelligence. We review recent breakthrough...
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10/01/2019
Emergent Systematic Generalization in a Situated Agent
The question of whether deep neural networks are good at generalising be...
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05/23/2019
Embedded Meta-Learning: Toward more flexible deep-learning models
How can deep learning systems flexibly reuse their knowledge? Toward thi...
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10/23/2018
A mathematical theory of semantic development in deep neural networks
An extensive body of empirical research has revealed remarkable regulari...
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10/27/2017
One-shot and few-shot learning of word embeddings
Standard deep learning systems require thousands or millions of examples...
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12/20/2013